Math equation with its graph

a) y=3x+2

b) y= -x+5

c) y= 2x-1

d) y= -4x

See picture attached

Please help

The equation of the model is (b) 2x = 5

From the question, we have the following parameters that can be used in our computation:

Left = x x

Right hand side = 1 1 1 1 1

The above parameters mean that

Left = 2x

Right = 5

When represented as an equation, we have

2x = 5

Hence, the equation is (b)

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Answer:

Belt = $34

wallt = $22

Step-by-step explanation:

The company sold 66 wallets and 83 belts for a total of $4,274 the previous month and sold 66 wallets and 86 belts for a total of $4,376 this month.

Let w represent wallets and b represent belts:

66w + 83b = $4,274

66w + 86b = $4,376

66w + 86b - 66w + 83b = $4,376 - $4,274

3b = $102

b = $34 this is the price for a belt.

To find the price of a wallet we need to replace b with 34 in the equation:

34×83 + 66w = $4,274

2,822 + 66w = $4,274

66w = $1,452

w = $22

Answer:

UW = 36 units

Step-by-step explanation:

The question is incomplete. Here is the complete question

Point V lies between points U and W on Line segment U W. A line has points U, V, W. The length between U V is 2 x minus 4. The length between V W is 4 x + 10. If UW = 9x – 9, what is UW in units?

If a point V lies between points U and W on line segment UW, then based on vector notation, UV + VW = UW.

Given parameters

The length between U and V i.e UV = 2x-4

The length between V and W i.e VW= 4x + 10.

UW = 9x – 9

Required

The length between U and W in units

Since UW = UV+VW, we will substitute the given functions into the formula as shown;

9x-9 = 2x-4+4x + 10.

9x-9 = 2x+4x-4+10

9x-9 = 6x+6

collect like terms on both sides;

9x-6x = 6+9

3x = 15

x = 15/3

x = 5

Substitute x = 5 into the function UW = 9x-9 to ge the length of UW in units.

UW = 9(5)-9

UW = 45-9

UW = 36 units

Hence the required length between line segment U and W in units is 36units.

Answer:

36 units, edge 2020-21

Step-by-step explanation:

aka D/last answer

Answer:

Step-by-step explanation:

THE OUTLINER IS 28!

Answer:

6

Step-by-step explanation:

how often is that question posted here ?

this means that we need to find the value of x, so that the functional (result) value is 7.

7 = (3x - 4)/2

14 = 3x - 4

18 = 3x

x = 6

Answer:

The answer is 59 ½

Step-by-step explanation:

4×4×4-2×1 ½×1 ½

= 64 - 2× 3/2 × 3/2

= 64 - 9/2

= 128/2 - 9/2

= 119/2

= 59 ½ in3

Hope this helped :)

Answer:

Lets just say we are finding the halfway point is very needful because; it means that we can find the amount of flour used for 1 while egg.

We are told there is a need to find the Number that is halfway between 1 and 1½.

Step-by-step explanation:

Answer:

13

Step-by-step explanation:

-(-5) + 8

5 + 8

13

Answer:

Step-by-step explanation:

If the equation is in the form ...

  y = ( )

then replace y with f(x).

If it is not in that form, solve for y so it is in that form.

__

The only equation that needs to have a solution is ...

  y +4 = x

Subtracting 4 from both sides gives ...

  y = x -4   ⇒   f(x) = x -4

The match is ...

The probability of having two years with high sales in a row for Apple Inc. is 0.16 or 16%.

To find the probability of two independent events happening in succession, you multiply their individual probabilities together. In this case, the probability of high sales in a given year is 40%, or 0.4.

Step 1: Convert percentages to decimal form.
High sales: 40% = 0.4

Step 2: Multiply the probabilities of high sales for two consecutive years.
Probability of two high sales years in a row = 0.4 * 0.4

Step 3: Calculate the result.
Probability = 0.4 * 0.4 = 0.16

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Answer:

x = 1

y = -1

z = 2

Step-by-step explanation:

You have the following system of equations:

\(x+2y-z=-3\ \ \ \ \ (1)\\\\2x-y+z=5\ \ \ \ \ \ (2)\\\\x-y+z=4\ \ \ \ \ (3)\)

First, you can subtract euqation (3) to equation (1):

x + 2y - z = -3

-x +y  -z = - 4

0   3y  -2z = -7    (4)

Next, you can multiply equation (3) by 2 and subtract it to equation (2):

2[ x -y + z = 4]

-2x +y -z = -5

  0 -y + z= 3     (5)

You multiply equation (5) by 2 and sum (5) with (4):

2[ -y  + z = 3]

   3y  -2z= -7

  y  + 0 = -1

Then y = -1

Next, you replace y=-1 in (5) to obtain z:

-(-1) + z = 3

z = 2

Finally, you can replace z and y in the equation (3) to obtain x:

x - (-1) + (2) = 4

x = 1

Answer: x=1 y=-1 z=2

Step-by-step explanation:

The 25th term in the sequence 11, 20, 29, 38, 47… is 227.

Based on the information illustrated, it should be noted that the 25th term in the sequence 11, 20, 29, 38, 47… will be calculated thus:

In this case, this is an arithmetic sequence. The formula to calculate the sequence will be:

= a + (n - 1)d

a = first term = 11

d = common difference = 9

The 25th term will be:

a + (n - 1)d

= 11 + (25 - 1)9

= 11 + (24 × 9)

= 11 + 216

= 227

The 25th term is 227.

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Answer:

The answer is B

Step-by-step explanation:

Answer:

yes it is a 0 is not a value if its infront of an answer

Step-by-step explanation:

\(~~~~~~~~~~~~\textit{middle point of 2 points } \\\\ C(\stackrel{x_1}{-8}~,~\stackrel{y_1}{-6})\qquad D(\stackrel{x_2}{-4}~,~\stackrel{y_2}{10}) \qquad \left(\cfrac{ x_2 + x_1}{2}~~~ ,~~~ \cfrac{ y_2 + y_1}{2} \right) \\\\\\ \left(\cfrac{ -4 -8}{2}~~~ ,~~~ \cfrac{ 10 -6}{2} \right) \implies \left(\cfrac{ -12 }{2}~~~ ,~~~ \cfrac{ 4 }{2} \right)\implies \stackrel{\textit{\LARGE M}}{(-6~~,~~2)}\)

The probability of "heads" on the (6th) flip of this coin will be 2.

Given that,

Flipped a fair coin 5 times and got heads every time.

On the 6th flip is,

The chances of an event occurring are defined by probability. Probability has several uses in games, in business to create probability-based forecasts,

"Heads" is the result of the latest flip and the preceding four flips. The total sample space for the heads.

P(A^B)=(1/2)^5

The preceding four flips in a row all resulted in "heads."

P(B)=(1/2)^6

The probability that the 5th flip lands head is;

⇒ P(A^B)/p(B) = \(\frac{(\frac{1}{2}) ^{5} }{(\frac{1}{2}) ^{6} }\)

⇒ P(A^B)/p(B) = \(\frac{1}{\frac{1}{2} }\)

⇒ P(A^B)/p(B) = 2

Therefore,

The probability of "heads" on the (6th) flip of this coin will be 2.

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Answer:

sin θ = 22.62°

cos θ = 22.62°

tan θ = 22.62°

Step-by-step explanation:

From the diagram above

Opposite = 5

Adjacent = 12

Hypotenuse = 13

a) sin θ = Opp/Hypotenuse

sin θ = 5/13

sin θ = 0.3846153846

arc sin 0.3846153846

= 22.619864948°

Approximately = 22.62°

b) cos θ = Adjacent/ Hypotenuse

θ = 12/13

= arccos(0.9230769230769231)

22.619864948°

Approximately = 22.62°

c) tan θ = Opposite/Adjacent

θ = 5/12

= arctan(0.4166666666666667)

= 22.619864948°

= 22.62°

In linear equation, 54 hours time will Rosmaria spend running if she trains for 12 week.

What is a linear equation in math?

An algebraic equation with simply a constant and a first-order (linear) term, such as y=mx+b, where m is the slope and b is the y-intercept, is known as a linear equation. Sometimes, the aforementioned is referred to as a "linear equation of two variables," where x and y are the variables.

Rosmaria runs 1.5 hours.

In the first week, Rosmaria ran 3 hours.

Rosmaria spend running if she trains for 12 weeks = 12 * 1.5 * 3

                                                             = 54

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False. The best big-o bound that any algorithm that multiplies two n-bit numbers can achieve is O(n^2), not O(n+n) or O(2n).

An algorithm is a set of instructions or a procedure for solving a problem or performing a task. In computer science, an algorithm is typically a step-by-step process for solving a problem or performing a computation. Algorithms can be expressed in various forms, such as natural language, pseudocode, flowcharts, or programming languages. They are used in a wide range of applications, from simple arithmetic operations to complex data processing and artificial intelligence. The efficiency and correctness of an algorithm depend on various factors such as the input size, the data structure, and the computational complexity of individual operations.

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Because each of n bits of a number x must be multiplied by each of n bits of a number y, the best big-o bound that any algorithm that multiplies two n-bit numbers can achieve is O(n+n)-O(n^2

While it is true that each of n bits of a number x must be multiplied by each of n bits of a number y, it is possible to achieve a better big-o bound than O(n+n) or O(2n). The best-known algorithm for multiplying two n-bit numbers, the Karatsuba algorithm, achieves a big-o bound of O(n^log2(3)), which is faster than O(n^2).

Therefore, the statement that the best big-o bound that any algorithm that multiplies two n-bit numbers can achieve is O(n+n) or O(n^2) is false.
Main answer: b. false

The given statement implies that the best big-O bound for multiplying two n-bit numbers is O(n+n)-O(n^2), which simplifies to O(2n)-O(n^2) or simply O(n^2). However, this is not the best bound achievable for multiplying two n-bit numbers. The best known algorithm, the Karatsuba algorithm, has a time complexity of O(n^log2(3)), which is approximately O(n^1.585). This is faster than O(n^2) and thus, the statement is false.

The best big-O bound that any algorithm that multiplies two n-bit numbers can achieve is not O(n^2), but rather O(n^log2(3)), as demonstrated by the Karatsuba algorithm. Therefore, the given statement is false.

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The number kilometers Ted ran in 285 minutes is 60 km.

The speed formula can be defined as the rate at which an object covers some distance. Speed can be measured as the distance travelled by a body in a given period of time. The SI unit of speed is m/s.

Given that, Ted likes to run long distances. He can run 20 km in 95 minutes.

We know that, speed =Distance/Time

Now, speed =20/95

= 0.21 km per minute

Number kilometers ran in 285 minutes is

285×0.21

= 59.85

≈ 60 km

Therefore, the number kilometers Ted ran in 285 minutes is 60 km.

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"Your question is incomplete, probably the complete question/missing part is:"

Ted likes to run long distances. He can run 20 km in 95 minutes. He wants to know how many kilometers he will go if he runs at the same pace for 285 minutes

The simplest form of fraction of the given terms is 43/40.

According to the statement

we have to find that the simplest form of the fraction by evaluating.

So, For this purpose, we know that the

A fraction is used to represent the portion/part of the whole thing. It represents the equal parts of the whole.

The given expression is

7/8+ 1/5

Now, to solve it take a LCM of it then

35+8/40

Now solve the term then the equation become

43/40.

Now, The simple form of the fraction become the 43/40.

So, The simplest form of fraction of the given terms is 43/40.

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\(\large\huge\green{\sf{Answer:-}}\)

\( \frac{65 {a}^{3} }{5a} = \frac{65 {a}^{2} }{5} = 13a {}^{2} \)

The unconditional mean E(Y) of the autoregressive model AR(1) is 10.5.

To compute the unconditional mean E(Y) of the autoregressive model AR(1) given by 1.05 + 0.9Y + ε, we can use the property of linearity in expectation and solve for the mean value.

The model can be rewritten as:

Y = (1.05 + ε) / (1 - 0.9)

Since ε follows a normal distribution with mean 0 and variance 0.01, we know that E(ε) = 0.

Using the linearity of expectation, we can compute the unconditional mean E(Y) as follows:

E(Y) = E((1.05 + ε) / (1 - 0.9))

= (1.05 + E(ε)) / (1 - 0.9)

= 1.05 / (1 - 0.9)

= 1.05 / 0.1

= 10.5

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Probability determines the likelihood of an event occurring: P(A) = f / N. Odds and probability are related but odds depend on the probability. You first need probability before determining the odds of an event occurring.

P(A) = f / N.

probability = 2%/100=0.0002

One of the areas of probability theory is the estimation of the chance of experiments occurring. Using a probability, we can calculate everything from the likelihood of getting heads or tails when flipping a coin to the likelihood of making a research error, for example. It is essential to appreciate the most basic definitions of this branch, such as the formula for computing probabilities in equiprobable sample spaces, the likelihood of two events joining together, the probability of the complementary event, etc., in order to properly understand it .Probability refers to potential. A random event's occurrence is the subject of this area of mathematics. Mathematics has incorporated probability to forecast the likelihood of various events.

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Answer:

what are u asking here?........

Answer:

Step-by-step explanation:

Approximately 68% of the weight fall between 101 and 137 pounds.

The empirical rule states that approximately 68% of the data in a normal distribution falls within one standard deviation of the mean, approximately 95% falls within two standard deviations, and approximately 99.7% falls within three standard deviations.

To apply the empirical rule to this problem, we need to convert the weight range of 101 to 137 pounds into units of standard deviation. To do this, we subtract the mean weight of 125 pounds from each value and divide it by the standard deviation of 12 pounds.

So the weight range of 101 to 137 pounds corresponds to the standard deviation range of:

(101 - 125) / 12 = -2

(137 - 125) / 12 = 1

So the weight range of 101 to 137 pounds corresponds to the standard deviation range of -2 to 1.

According to the empirical rule, approximately 68% of the data falls within one standard deviation of the mean. Therefore, approximately 68% of the weight fall between 101 and 137 pounds.

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Approximately 68% of the weight fall between 101 and 137 pounds.

The empirical rule states that approximately 68% of the data in a normal distribution falls within one standard deviation of the mean, approximately 95% falls within two standard deviations, and approximately 99.7% falls within three standard deviations.

To apply the empirical rule to this problem, we need to convert the weight range of 101 to 137 pounds into units of standard deviation. To do this, we subtract the mean weight of 125 pounds from each value and divide it by the standard deviation of 12 pounds.

So the weight range of 101 to 137 pounds corresponds to the standard deviation range of:

(101 - 125) / 12 = -2

(137 - 125) / 12 = 1

So the weight range of 101 to 137 pounds corresponds to the standard deviation range of -2 to 1.

According to the empirical rule, approximately 68% of the data falls within one standard deviation of the mean. Therefore, approximately 68% of the weight fall between 101 and 137 pounds.

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