Answer: a) The equation of the least-squares regression line is y = -1.66x + 78.83. b) Residual = 7.11 inches. c) The residual is the deviation of a data point from the fitted regression line. In this case, the residual is 7.11 inches, indicating that the player who wears a size 9 and is 71 inches tall is taller than what would be expected based on the trend in the data.
Step-by-step explanation:
What is the least square regression and residual?
Least squares regression is a statistical method that is used to find the line of best fit for a set of data points. It involves finding the line that minimizes the sum of the squares of the differences between the actual data points and the predicted values on the line. The residual is the difference between the actual data point and the predicted value on the line.
Part A: The equation for the least-squares regression line can be found by using the following formula: y = bx + a
To find the values for a and b, we need to calculate the following values:
x: the mean of the shoe sizes,
y: the mean of the heights.
S x y: the sum of the products of the differences between the shoe sizes and x and the differences between the heights and y.
S x x: the sum of the squares of the differences between the shoe sizes and x.
X = (7+10+12+8+9.5+10+11.5+12.5+13.5+10) / 10 = 10.5
Y = (64+69+72+67+69+70+75+73+71+68) / 10 = 69.4
To find S x y and S x x, we use:
S x y = ∑(x - x)(y - y)
S x x = ∑(x - x)^2
Inserting the values from the table, we get:
S x y =-47.5
S x x = 28.5
Using values, we can calculate the slope and y-intercept of the least-squares regression line:
b = S x y / S x x = -47.5 / 28.5 = -1.66
a = y - bx = 69.4 - (-1.66)(10.5) = 78.83
So the equation of the least-squares regression line is y = -1.66x + 78.83
Part B: We can use the equation for the least-squares regression line to determine the residual for a player who wears a size 9 and is 71 inches tall. We calculate the player's height using the size 9 into the equation:
y=-1.66x+78.83=63.89 inches.
The residual is then calculated by deducting the expected height from the actual height: 7.11 inches =71- 63.89 inches.
Part C: The residual is the variation between the dependent variable's actual value (height) and its anticipated value according to the least-squares regression line. The athlete in this instance, who wears a size 9 and is 71 inches tall, is taller than what might be anticipated based on the trend in the data, according to the residual of 7.11 inches.
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The equation of the least-squares regression line is y = -1.66x + 78.83. b) Residual = 7.11 inches.
What is the least square regression and residual?
Least squares regression is a statistical method that is used to find the line of best fit for a set of data points. It involves finding the line that minimizes the sum of the squares of the differences between the actual data points and the predicted values on the line. The residual is the difference between the actual data point and the predicted value on the line.
Part A: The equation for the least-squares regression line can be found by using the following formula: y = bx + a
To find the values for a and b, we need to calculate the following values:
x: the mean of the shoe sizes,
y: the mean of the heights.
S x y: the sum of the products of the differences between the shoe sizes and x and the differences between the heights and y.
S x x: the sum of the squares of the differences between the shoe sizes and x.
X = (7+10+12+8+9.5+10+11.5+12.5+13.5+10) / 10 = 10.5
Y = (64+69+72+67+69+70+75+73+71+68) / 10 = 69.4
To find S x y and S x x, we use:
S x y = ∑(x - x)(y - y)
S x x = ∑(x - x)^2
Inserting the values from the table, we get:
S x y =-47.5
S x x = 28.5
Using values, we can calculate the slope and y-intercept of the least-squares regression line:
b = S x y / S x x = -47.5 / 28.5 = -1.66
a = y - bx = 69.4 - (-1.66)(10.5) = 78.83
So the equation of the least-squares regression line is y = -1.66x + 78.83
Part B: We can use the equation for the least-squares regression line to determine the residual for a player who wears a size 9 and is 71 inches tall. We calculate the player's height using the size 9 into the equation:
y=-1.66x+78.83=63.89 inches.
The residual is then calculated by deducting the expected height from the actual height: 7.11 inches =71- 63.89 inches.
Part C: The residual is the variation between the dependent variable's actual value (height) and its anticipated value according to the least-squares regression line. The athlete in this instance, who wears a size 9 and is 71 inches tall, is taller than what might be anticipated based on the trend in the data, according to the residual of 7.11 inches.
c) The residual is the deviation of a data point from the fitted regression line. In this case, the residual is 7.11 inches, indicating that the player who wears a size 9 and is 71 inches tall is taller than what would be expected based on the trend in the data.
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identify the functions ????f and ????g such that limx→0????(x)limx→0f(x) does not exist, limx→0????(x)limx→0g(x) does not exist, but limx→0(????(x) ????(x))limx→0(f(x) g(x)) does exist. choose the appropriate functions.
We can choose f(x) = 1 if x is rational and f(x) = -1 if x is irrational, g(x) = x if x is rational and g(x) = -x if x is irrational, and their product ∆(x) = f(x)g(x) = x².
To find functions f and g that satisfy the given conditions, we need to consider the behavior of the limits as x approaches 0.
For the first condition, we want the limit of ∆(x) = f(x) as x approaches 0 to not exist. One example of such a function is f(x) = 1 if x is rational and f(x) = -1 if x is irrational. Since the rational and irrational numbers are dense in the real numbers, the limit as x approaches 0 does not exist for this function.
For the second condition, we want the limit of ????(x) = g(x) as x approaches 0 to not exist. One example of such a function is g(x) = x if x is rational and g(x) = -x if x is irrational. Again, the limit as x approaches 0 does not exist for this function.
Now, for the third condition, we want the limit of ∆(x)∆(x) = f(x)g(x) as x approaches 0 to exist. To satisfy this, we can choose any two functions that are compatible, meaning their product is well-behaved. For example, we can choose f(x) = g(x) = x. The product of x and x is x^2, which is continuous and well-defined at x = 0. Thus, the limit as x approaches 0 of f(x)g(x) exists.
In conclusion, we can choose f(x) = 1 if x is rational and f(x) = -1 if x is irrational, g(x) = x if x is rational and g(x) = -x if x is irrational, and their product ∆(x) = f(x)g(x) = x².
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A robot moves in the positive direction along a straight line so that
after t minutes its distance is s=6t^(4) feet from the origin. (a) Find
the average velocity of the robot over the interval 2,4. (b) Find the
instantaneous velocity at t=2.
The robot moves in the positive direction along a straight line so that after t minutes its distance is s=6t^4 feet from the origin. (a) Find the average velocity of the robot over intervals 2, 4. We have the following data: Initial time, t₁ = 2 min.
Final time, t₂ = 4 min.The distance from the origin is given by s = 6t^4Therefore, s₁ = s(2) = 6(2^4) = 6(16) = 96 feet s₂ = s(4) = 6(4^4) = 6(256) = 1536 feet
We can find the average velocity of the robot over the interval 2, 4 as follows: Average velocity = (s₂ - s₁) / (t₂ - t₁)Average velocity = (1536 - 96) / (4 - 2)Average velocity = 1440 / 2Average velocity = 720 feet per minute(b) Find the instantaneous velocity at t=2.To find the instantaneous velocity at t = 2 min, we need to take the derivative of the distance function with respect to time. We have the distance function as:s = 6t^4 Taking derivative of s with respect to t gives the velocity function:v = ds / dt Therefore,v = 24t³At t = 2, the instantaneous velocity is:v(2) = 24(2)³v(2) = 24(8)v(2) = 192 feet per minute Therefore, the instantaneous velocity at t = 2 min is 192 feet per minute.
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A board game has a spinner to decide each player’s move.The spinner is divided evenly into four sections,which each section labeled as follows:forward one space,forward two space,backward one space, backward two space.
The results for the first 24 spins of the game are shown in the table.Based on these results,for which sections is the experiment probability significantly different from the model?
The forward one space and backward one space with frequnecy of 8 and 4 will have experimental probability that defers from the model.
How to interpret frequency tables?
We are told that the spinner is divided evenly into four sections. This means they have to have the same frequency.
Now, since each section is meant to have the same frequency and since there are 24 spins. Then we can say that each model will have 6 as frequency.
However, forward one space and backward one space which is the experimental probability with frequnecy of 8 and 4 respectively defers from the model.
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Construct the appropriate control chart for the 11 observations, and determine if the process is in control using two sigma limits. No. of defects per unit for the observations are: 10, 3, 9, 9, 8, 4,
In this case, we are given only a partial list of observations. To determine if the process is in control, we would need the complete set of observations to evaluate their values in relation to the control limits.
To construct a control chart and determine if the process is in control, we need to calculate the control limits using the given observations.
Let's start by calculating the average (x(bar)) and standard deviation (σ) of the observations:
Observations: 10, 3, 9, 9, 8, 4
Step 1: Calculate the average (x(bar)):
x(bar) = (10 + 3 + 9 + 9 + 8 + 4) / 6 = 43 / 6 ≈ 7.17
Step 2: Calculate the standard deviation (σ):
1. Calculate the squared deviation for each observation:
\((10 - 7.17)^2, (3 - 7.17)^2, (9 - 7.17)^2, (9 - 7.17)^2, (8 - 7.17)^2, (4 - 7.17)^2\)
= 6.9129, 18.9129, 2.5929, 2.5929, 0.6889, 10.5889
2. Calculate the average of the squared deviations:
(6.9129 + 18.9129 + 2.5929 + 2.5929 + 0.6889 + 10.5889) / 6 ≈ 7.9198
3. Calculate the square root of the average squared deviation:
σ = √(7.9198)
≈ 2.81
Now that we have the average (x(bar)) and standard deviation (σ), we can construct the control chart using two sigma limits. The control limits are calculated as follows:
Upper Control Limit (UCL) = x(bar) + (2 * σ)
Lower Control Limit (LCL) = x(bar) - (2 * σ)
UCL = 7.17 + (2 * 2.81)
≈ 12.79
LCL = 7.17 - (2 * 2.81)
≈ 1.55
Based on the control chart, if any of the observations fall above the UCL or below the LCL, it would indicate an out-of-control process.
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Find the sum: (-5x2 + x - 8) + (-3x2 – 8x – 3).
A
-2x2 + 9x - 11
B
-2x2 + 9x - 5
с
-8X2 - 7x - 11
D
-8x2 - 7x + 11
Answer:
hello there i think the answer is c
Step-by-step explanation:
Consider a continuous-time Markov chain with three states 1, 2, 3, 4, 5 and transition rates q12=1, q13 = 2, q21 = 0, q23 = 3, q31 = 0, q32 = 0. (1) Write the system of ODEs for the corresponding transition probabilities Pᵢⱼ (t) . (2) Suppose that the initial state is 1. What is the probability that after the first transition, the process X(t) enters state 2?
the probability of transitioning from state 1 to state 2 after the first transition is:
P(X(t) enters state 2 after the first transition | X(0) = 1) = 1 / 3
To write the system of ordinary differential equations (ODEs) for the transition probabilities Pᵢⱼ(t) of the given continuous-time Markov chain, we need to consider the rate at which the system transitions between different states.
Let Pᵢⱼ(t) represent the probability that the Markov chain is in state j at time t, given that it started in state i at time 0.
The ODEs for the transition probabilities can be written as follows:
dP₁₂(t)/dt = q₁₂ * P₁(t) - q₂₁ * P₂(t)
dP₁₃(t)/dt = q₁₃ * P₁(t) - q₃₁ * P₃(t)
dP₂₁(t)/dt = q₂₁ * P₂(t) - q₁₂ * P₁(t)
dP₂₃(t)/dt = q₂₃ * P₂(t) - q₃₂ * P₃(t)
dP₃₁(t)/dt = q₃₁ * P₃(t) - q₁₃ * P₁(t)
dP₃₂(t)/dt = q₃₂ * P₃(t) - q₂₃ * P₂(t)
where P₁(t), P₂(t), and P₃(t) represent the probabilities of being in states 1, 2, and 3 at time t, respectively.
Now, let's consider the second part of the question: Suppose that the initial state is 1. We want to find the probability that after the first transition, the process X(t) enters state 2.
To calculate this probability, we need to find the transition rate from state 1 to state 2 (q₁₂) and normalize it by the total rate of leaving state 1.
The total rate of leaving state 1 can be calculated as the sum of the rates to transition from state 1 to other states:
total_rate = q₁₂ + q₁₃
Therefore, the probability of transitioning from state 1 to state 2 after the first transition can be calculated as:
P(X(t) enters state 2 after the first transition | X(0) = 1) = q₁₂ / total_rate
In this case, the transition rate q₁₂ is 1, and the total rate q₁₂ + q₁₃ is 1 + 2 = 3.
Therefore, the probability of transitioning from state 1 to state 2 after the first transition is:
P(X(t) enters state 2 after the first transition | X(0) = 1) = 1 / 3
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What is the three-period weighted moving average for july using the weights 0.5 (most recent), 0.3, and 0.2?
The three-period weighted moving average for july is 145.4.
What is Weighted Moving Average?A weighted moving average technique is one of several methods for forecasting a given month's value or attribute. Other techniques for forecasting from historical data include the evenly weighted moving average method, a regression analysis method, and so on.
When evaluating the movable average estimate of such an observation, each observation is usually weighted the same way. In some cases, it is advantageous to assign different weights to the observations so that the observation closest to the forecasted time period has a higher weight. This is known as the weighted moving average method. In such a weighted moving average technique, the sum of the individual weights must equal 1.Now, according to the question;
The weighted moving average strategy forecast for month of July is given by:
= (Weight for May * Sales for May) + (Weight for April * Sales for April) + (Weight for June * Sales for June)
= (0.5 * 148) + (0.3 * 142) + (0.2* 144)
= 145.4
Therefore, the three-period weighted moving average for july is 145.4.
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The complete question is -
13. Given the following historical data and weights of .5, .3, and .2, what is the three-period weighted moving average forecast for period 5?
Period Value
1 - 138 (march)
2 - 142 (april)
3 - 148 (may)
4 - 144 (june)
25 POINTS- NEED ASAP.
Tell whether x and y show direct variation. Explain your reasoning.
(In your answer can u pls put like 19- 20- ty.)
Answer:
19 shows direct variation
20 does not (guessing for this one a bit)
19- Shows a steady increase of four in y for each one in x
20- Shows no increase
Step-by-step explanation:
19 is a constant increase by 4, 20 does not show either
F(x)=4(5/6)^x exponential growth or decay
Answer:
decay
Step-by-step explanation:
x equals 4y minus 2 help
Answer question 3 and also I will give you brainiest if you give the correct answer hurry!!!
find the intercepts of the graph of y=x^2-25
The intercepts of the graph of y = x²- 25 are (-5, 0), (5, 0), and (0, -25).
What is the use of graph in maths?Data can also be presented as a table. However, when the information is presented graphically, it is much easier to understand. There are many types of charts and each of them serves specific purposes in different fields.
To find the x-intercepts of the graph, we need to set y = 0 and solve for x:
0 = x²- 25
Adding 25 to both sides gives:
25 = x²
Taking the square root of both sides gives us:
x = ±5
So the x-intercepts are (-5, 0) and (5, 0). To find the y-intercept, we need to set x = 0 and solve for y:
y = 0²-25
y = -25
So the y-intercept is (0, -25).
Therefore, the intercepts of the graph of y = x² - 25 are (-5, 0), (5, 0), and (0, -25).
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Best Answer Gets Brainliest
We know that a 90-degree rotation is (x, y) --> (y, -x), but what would the formula be for a point that isn't (x, y)? (e.g. (-x, y) --> (y, -x)?).
Answer:
Furthermore, it turns out that rotations by 180^\circ180
∘
180, degrees or -90^\circ−90
∘
minus, 90, degrees follow similar patterns:
R_{(0,0),180^\circ}(\tealD{x},\purpleC{y})=(-\tealD{x},-\purpleC{y})R
(0,0),180
∘
(x,y)=(−x,−y)R, start subscript, left parenthesis, 0, comma, 0, right parenthesis, comma, 180, degrees, end subscript, left parenthesis, start color #01a995, x, end color #01a995, comma, start color #aa87ff, y, end color #aa87ff, right parenthesis, equals, left parenthesis, minus, start color #01a995, x, end color #01a995, comma, minus, start color #aa87ff, y, end color #aa87ff, right parenthesis
R_{(0,0),-90^\circ}(\tealD{x},\purpleC{y})=(\purpleC{y},-\tealD{x})R
(0,0),−90
∘
(x,y)=(y,−x)R, start subscript, left parenthesis, 0, comma, 0, right parenthesis, comma, minus, 90, degrees, end subscript, left parenthesis, start color #01a995, x, end color #01a995, comma, start color #aa87ff, y, end color #aa87ff, right parenthesis, equals, left parenthesis, start color #aa87ff, y, end color #aa87ff, comma, minus, start color #01a995, x, end color #01a995, right parenthesis
We can use these to rotate any point we want by plugging its coordinates in the appropriate equation.
Step-by-step explanation:
Step-by-step explanation:
the same "conversion process" applies.
whatever expression was in place of the old x gets a negative sign and moves into the spot of y.
and whatever expression was in place of the old y moves into the spot of x.
so, in general, we could say
the original is (f(x), g(y)).
and the 90° rotation is then
(f(x), g(y)) -> (g(y), -f(x))
add on : that means, of course, that if the old x was already a negative number, it turns via "--" into a positive number for the new y.
last but not least : we are talking here about a 90° clockwise rotation. right?
because for the counterclockwise rotation it is
(f(x), g(y)) -> (-g(y), f(x))
Is it possible to have triangle whose sides have length 10.2 cm 5 8 cm and 4.5 cm give reason?
A triangle is a closed shape in geometry with 3 angles, 3 sides, and 3 vertices. A triangle with three vertices P, Q, and R is represented as triangle △PQR. The most commonly seen examples of triangles are the signboards and sandwiches that are in the shape of a triangle.
Given Lengths of the ∆ -
10.2 cm
5.8 cm
4.5 cm
We know that by triangle formula,
The sum of any two sides of a triangle is always greater than the third side.
So, according to the given sides of the triangle that are 10.2, 5.8, 4.5.
(10.2 + 5.8) cm = 16 cm > 4.5 cm
(10.2 + 4.5) cm = 14.7 cm > 5.8 cm
(5.8 + 4.5) cm = 10.3 cm > 10.2 cm
Yet, it is also possible to have a triangle having sides 10.2 cm, 4.5 cm & 5.8 cm.
A triangle is just a simple polygon with three sides and three interior angles.
It is one of the basic structures in geometry in which the three vertices are joined with each other and it is denoted by the symbol △.
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45 students participate in a sporting event. The winners are awarded rupees 1000 and all the others are awarded ruppees 200 each gor participation. If the total amount of prize money distributed is ruppees 22,600 find the total number of winners
Answer:
The total number of winners is 17.
Step-by-step explanation:
Let's assume that the number of winners is "x". Then the number of participants who did not win is "45 - x".
The amount of money awarded to the winners is 1000x rupees.
The amount of money awarded to the participants who did not win is 200(45 - x) rupees.
According to the question, the total amount of prize money distributed is 22600 rupees. So we can write:
\(\sf\implies 1000x + 200(45 - x) = 22600 \)
Simplifying this equation:
\(\sf\implies 1000x + 9000 - 200x = 22600 \)
\(\sf\implies 800x = 13600 \)
\(\sf\implies x = 17 \)
Therefore, the total number of winners is 17.
Hope it helps!
a scientist wants to determine whether or not the height of cacti, in feet, in africa is significantly higher than the height of mexican cacti. he selects random samples from both regions and obtains the following data.
Africa:
Mean = 12.1
Sample size = 201
Mexico:
Mean = 11.2
Sample size = 238
(a) Which of the following would be the correct hypothesis test procedure to determine if there is a difference between the mean height of two cacti?
-Two-sample test for proportions
-Two-sample t-test
- Paired t-test
(b) What is the value of the sample statistic to test those hypotheses? (2 decimal places)
(c) If the T test statistic is 2.169, and df = 202, find the p-value. (3 decimal places)
(d) Select the correct conclusion at alpha = 0.05.
-The null hypothesis is not rejected. There is insufficient evidence of a difference between the mean height of two cacti.
-The null hypothesis is rejected. There is sufficient evidence of a difference between the mean height of two cacti.
-The null hypothesis is not rejected. There is sufficient evidence of a difference between the mean height of two cacti.
-The null hypothesis is rejected. There is insufficient evidence of a difference between the mean height of two cacti.
(e) Mark the correct statement at alpha = 0.05:
-The test result is statistically significant.
-The test result is not statistically significant.
(f) Explain the type of error, in context, that might have been made.
-Type II error, which means the scientist concluded there is a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is no difference.
-Type II error, which means the scientist concluded there is not a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is a difference.
-Type I error, which means the scientist concluded there is a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is no difference.
-Type I error, which means the scientist concluded there is not a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is a difference.
(g) What would the p-value have been if we had done a two-tailed test? (3 decimal places)
The correct options for the given parts are as follows
(a) Two-sample t-test.
(b) x1 bar - x2 bar = 12.1 - 11.2 = 0.9
(c) p - value = 0.031
(d) The null hypothesis is rejected. There is sufficient evidence of a difference between the mean height of two cacti.
(e) The test result is statistically significant.
(f) Type I error, which means the scientist concluded there is a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is no difference.
What is sample statistics?
Any number calculated from your sample data is referred to as a sample statistic (or simply a statistic). The sample average, median, sample standard deviation, and percentiles are a few examples. Because a statistic is based on data obtained through random sampling, which is a random experiment, it is a random variable.
a) Since there are two independent samples and we want to compare population means. We must use: Two-sample t-test.
b) The value of the sample statistic to test those hypotheses is:
x1 bar - x2 bar = 12.1 - 11.2 = 0.9
c) This is two-tailed test. For p-value, use excel formula =TDIST(2.169,202,2).
p - value = 0.031
d) Since p-value is less than 0.05, correct option is:
The null hypothesis is rejected. There is sufficient evidence of a difference between the mean height of two cacti.
e) Since p-value is less than 0.05, correct option is:
-The test result is statistically significant.
f) Since null hypothesis is rejected, we might have been made Type I error. The correct option is:
-Type I error, which means the scientist concluded there is a significant difference between average height of cacti in Africa and cacti in Mexico, when in reality there is no difference.
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How much is 45 to 50 kg in pounds?
Answer: 45 kg is equal to about 100 pounds, 50 kg is equal to about 110 pounds. the exact answer is 99.2-110.2lbs.
not sure if this is what you were asking but hope it helps. you can do the conversion by multiplying the weight in kg by 2.205
The value of 45 to 50 kg in pounds is 99 to 110 pounds
What is Kilo gram ?
Kilo gram can be defined as follows , one kilo gram is equals to thousand grams or one gram is equal to reciprocal of thousand.
Given ,
we need to find 45 to 50 kg in pounds
so,
we know that,
1 kilo gram = 2.204
so for 45 kilo grams is equals to
here we have to multiply 45 with 2.20 approx
we get,
45 kilo grams = 45 * 2.20
= 99
And similarly for 50 kilo grams = 50* 2.20
= 110
Therefore, The 45 to 50 kg in pounds is 99 to 110 pounds
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ASAP PLS HELP ME WITH THIS PLZZZ
Answer:
84
Step-by-step explanation:
6•11 for rectangle and 1/2 6•6 for triangle add and you get 66+18=84
Answer:
84
Step-by-step explanation:
find the area of the triangle first
= 1/2 * 6 * 6
=18 in^2
rectangle
= L * W
= 6*11
= 66 in^2
therefore, 66+18
=84
Rectangle A is a scale drawing of Rectangle B and has 25% of its area. If rectangle A has side lengths of 4 cm and 5 cm , what are the side lengths of rectangle B ?
Answer:
8 cm and 10 cm
Step-by-step explanation:
Hello, I can help you with this.
Step 1
According to the question there are two rectangles A and B,
Rectangle A is a scale drawing of Rectangle B and has 25% of its area
in other words
\(Area_{A}=0.25*Area_{B} (Equation\ 1)\\\)
Step 2
Let
Rectangle A
length (1)= 4 cm
length (2)= 5 cm
\(Area_{A}=4\ cm * 5\ cm\\Area_{A}=20\ cm^{2}\)
put this value into equation 1
\(Area_{A}=0.25*Area_{B} (Equation\ 1)\\\\20\ cm^{2} =0.25*Area_{B} \\divide\ each\ side\ by\ 0.25\\\frac{20\ cm^{2} }{0.25}=\frac{0.25}{0.25}*Area_{B}\\ Area_{B}=80\ cm^{2}\)
Now, we know the area of rectangle B, to know its length we need to formule other equation
Step 3
\(Area_{B}=80\ cm^{2}\\length (1B)*length (2B)=80\ cm^{2} (equation\ 2)\\\)
the ratio between the lengths must be constant, so the ratio of A must be equal to ratio in B, then
\(\frac{length(1A)}{length(2A)}=\frac{length(1B)}{length(2B)} \\\\\\frac{4}{5}= \frac{length(1B)}{length(2B)}\\0.8=\frac{length(1B)}{length(2B)}\\length(1B)=0.8*length(2B) (Equation 3)\)
Step three
using Eq 1 and Eq 2 find the lengths
put the value of length(1B) into equation (2)
\(length (1B)*length (2B)=80\ cm^{2} (equation\ 2)\\\(0.8*length(2B)) (*length (2B)=80\ cm^{2} \\\\0.8*(length (2B))^{2} =80\ cm^{2}\\(length (2B))^{2} =\frac{80\ cm^{2}}{0.8} \\(length (2B))^{2}=100\\\sqrt{(length (2B))^{2}}=\sqrt{100\ cm^{2}} \\ length (2B)=10\ cm\)
Now, put the value of length(2B) into equation 3 to know length (1B)
\(length(1B)=0.8*length(2B)\\length(1B)=0.8*10\ cm\\length(1B)=8 cm\)
I really hope this helps you, have a great day.
A pole that is 3.2 m tall casts a shadow that is 1.32 m long. At the same , a nearby tower casts a shadow that is 46.75 m long. How tall is the tower? Round your answer to the nearest meter.
Answer:
The tower is 113 meters.
Step-by-step explanation:
We are given a pole and a tower that both create a shadow.
Hence, the figures made are triangles.
If you draw the figure (attached to this response), you can see the two triangles are similar triangles.
⭐What are similar triangles?
two triangles whose corresponding side lengths are proportional and have the same shapeStrategycreate a proportion of the ratios of the corresponding side lengthssolve for the length of the towerCreate a ratio for the corresponding side lengthsThe length of the height of the pole (3.2) corresponds to the length of the height of the tower (x).
The length of the shadow of the pole (1.32) corresponds to the length of the shadow of the tower (46.75).
Therefore, our two ratios are:
\(\frac{3.2}{x}\) and \(\frac{1.32}{46.75}\)
Create a proportion for the corresponding side lengthsA proportion is when you set two ratios equal to each other:
\(\frac{3.2}{x} = \frac{1.32}{46.75}\)
Solve for the length of the tower (x)To solve for x, cross multiply by multiplying the opposite parts of the fraction together.
\(\frac{3.2}{x} = \frac{1.32}{46.75}\\46.75(3.2) = 1.32x\\149.6 = 1.32x\\\\113 = x\)
∴ The tower is 113 meters tall!
if this response helped you, please mark it the "brainliest" :)
I don't understand this question can someone help me with this please, please explain!! and thank you for the help!! If u dont know try your best. Please do it quick, please do all :D
Using Point Slope Formula, write an equation that passes through (-2, 6) and ( 8, 9)
Answer:
y - 9 = 3/10(x - 8)
General Formulas and Concepts:
Pre-Algebra
Order of Operations: BPEMDAS
Brackets Parenthesis Exponents Multiplication Division Addition Subtraction Left to RightAlgebra I
Slope Formula: \(\displaystyle m=\frac{y_2-y_1}{x_2-x_1}\)
Point-Slope Form: y - y₁ = m(x - x₁)
x₁ - x coordinate y₁ - y coordinate m - slopeStep-by-step explanation:
Step 1: Define
Point (-2, 6)
Point (8, 9)
Step 2: Find slope m
Simply plug in the 2 coordinates into the slope formula to find slope m
Substitute [SF]: \(\displaystyle m=\frac{9-6}{8+2}\)Subtract/Add: \(\displaystyle m=\frac{3}{10}\)Step 3: Write Function
Plug in variables into general form.
y - 9 = 3/10(x - 8)
y - 6 = 3/10(x + 2)
What is 75% of 85$?
Pls help
Answer:63.75 :)
Step-by-step explanation:
Answer:
$63.75
Step-by-step explanation:
85 x 75/100
85/1 x 3/4
255/4 - > $63.75
- You should already know how to do this yourself as this is very easy and basic question.
Zion has scores of 92, 97, 94, and 86 on three math tests. What must his grade be on his next text so he can average test grade is a 91?
The average score is 97
What is average ?
In plain English, an average is a single number chosen to represent a group of numbers; it is often the sum of the numbers divided by the number of numbers in the group. The average of the numbers 2, 3, 4, 7, and 9 is, for instance, 5.
Average, mean, median, and norm all refer to something that sits in the middle. The average is the ratio created by dividing the total number of figures in a set by the total number of figures. scored 85 on tests on average. The term "mean" can refer to the simple average or to a value that lies halfway between two extremes.
Let the grade he got on final test be x
The average of all four grades is 91.
So, we have
(92+89+86+x)/4 = 91
⇒x=364−267
= 97
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What is the area of a circle with a radius of 10 inches? use 3. 14 for pi. 31. 4 in² 62. 8 in² 314 in² 628 in².
Work Shown:
A = pi*r^2
A = 3.14 * 10^2
A = 3.14 * 100
A = 314 square inches
This value is approximate since pi = 3.14 is approximate.
The area of the circle is :
↬ 314 in²Work:
To calculate the circle's area, I will use the formula
\(\sf{C=\pi r^2}\)
whereC = circumferenceπ = 3.14r = radius (10 inches)Diagram:
\(\setlength{\unitlength}{1.1cm}\begin{picture}(0,0)\thicklines\qbezier(2.3,0)(2.121,2.121)(0,2.3)\qbezier(-2.3,0)(-2.121,2.121)(0,2.3)\qbezier(-2.3,0)(-2.121,-2.121)(0,-2.3)\qbezier(2.3,0)(2.121,-2.121)(-0,-2.3)\put(0,0){\line(1,0){2.3}}\put(0.5,0.3){\bf\large 10\ inches}\end{picture}\)
Plug in the values :
\(\begin{gathered}\sf{A=3.14\times10^2}\\\\\sf{A=3.14\times100}\\\\\boxed{\boxed{\bf{A=314\:in^2}}}\end{gathered}\)
Hence, the circle's area is 314 in².1) How do rigid motions affect a given figure?
2) How are rotations represented as a function?
3) What is the relationship between a rotation and a rigid motion?
_____ is a quantitative statistical analysis that compares and combines the results of individual but similar studies.
"Meta Analysis" is a quantitative statistical analysis that compares and combines the results of individual but similar studies.
What is meta analysis?A quantitative statistical analysis of numerous distinct but related experiments or research to assess the statistical significance of the pooled results.
Some characteristics of meta analysis are-
The statistical method for merging data from various studies is called meta-analysis. Meta-analysis can be used to pinpoint this common impact when the treatment effect (or effect size) is constant from one trial to the next. Meta-analysis can be performed to determine the cause of variance in the effect when it differs between studies.Regulatory agencies occasionally demand a meta-analysis as part of the approval process, which pharmaceutical companies employ to obtain clearance for new medications. Meta-analysis is used by clinicians and applied researchers in a variety of sectors, including medicine, education, psychology, criminal justice, and many more, to identify which therapies are most effective.To know more about Meta-analysis, here
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how many centimeters are in 4.8 inches?
[1 inch = 2.5 cm]
a. 12 cm
b. 11 cm
c. 7.30 cm
d. 1.92 cm
Answer:
A.
Step-by-step explanation:
Answer:
a.12
Step-by-step explanation:
4.8x2.5=12
Demarco is writing a report on how many students own a bicycle. He surveys a random sample of middle-school students and finds that 12 out of 20 middle-school own bicycles. If there are 650 students in middle school, estimate the number of students who own a bycicle
We can estimate that about 390 middle-school students own bicycles.
What is Equation?Two or more expressions with an Equal sign is called as Equation.
If 12 out of 20 middle-school students own bicycles, we can estimate the proportion of all middle-school students who own bicycles as:
12/20 = 0.6
So we can estimate that 60% of middle-school students own bicycles.
To estimate the number of students who own bicycles out of the total middle-school population of 650 students.
we can multiply this proportion by the total number of students:
0.6 x 650=390
Therefore, we can estimate that about 390 middle-school students own bicycles.
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Suppose the rate of plant growth on Isle Royale supported an equilibrium moose population of 380 moose. In this scenario, there are no wolves present, and the environment is stable. One day, 200 additional moose arrive on the island. What would you predict the moose population to be 30 years later?
The predicted moose population 30 years later is ≈442 with the help of logistic growth model equation.
To predict the moose population on Isle Royale 30 years later, we need to consider the rate of plant growth, carrying capacity, and the growth rate of the moose population.
If the rate of plant growth remains constant and the environment remains stable, we can assume that the carrying capacity (equilibrium population) of 380 moose will still be maintained.
However, with the arrival of an additional 200 moose, the population will initially exceed the carrying capacity.
To estimate the future population, we can use a logistic growth model. The logistic growth model accounts for a population's growth rate slowing down as it approaches its carrying capacity.
The logistic growth model can be represented by the following equation:
P(t) = K / (1 + (K / P₀ - 1) * e^(-r * t))
Where:
P(t) is the population at time t,
K is the carrying capacity,
P₀ is the initial population,
r is the growth rate, and
t is the time period.
In this case, the carrying capacity (K) is 380 moose, the initial population (P₀) is 380 + 200 = 580 moose, and the time period (t) is 30 years. The growth rate (r) is not provided, so we'll assume a growth rate of 0.03 (or 3%) per year for illustration purposes.
Using these values, we can calculate the predicted moose population 30 years later:
P(30) = 380 / (1 + (380 / 580 - 1) * e^(-0.03 * 30))
P(30)=441.961414444549
p(30)≈442.
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