Find the margin of error for a a survey that had a sample size of 260. Round answer to the nearest tenth of a percent

Solving:

The equation for a graph is in the format: y = mx + b, so let's get this equation in that format, by solving for y.

4x - 2y = 24

-4x          -4x

-2y = -4x + 24

/-2     /-2    /-2

y = 2x - 12

Answer:

Therefore, the slope is 2, or 2/1, and the y-intercept is -12.

If I helped, pls make this answer brainliest, it helps a lot! ;)

Answer:

Reflection across y=-6

Step-by-step explanation:

This is the answer because it can not be reflection across the y axis because the blue shape already makes itself known to the y-axis

The vertical angle theorem and the angle addition postulate indicates;

m∠PMK = 39°

m∠NMP = 18°

Vertical angles are the non adjacent angles formed when two lines or line segment intersect.

The measures of the angles are;

m∠JMG = 39°

m∠LMN = 72°

∠PMK and ∠JMG are vertical angles, therefore;

∠PMK ≅ ∠JMG (Vertical angles theorem)

m∠PMK = m∠JMG = 39°

∠LMP = ∠LMN + ∠NMP (Angle addition property)

The angle marking indicates that the measure of the angle m∠LMP = 90°, therefore;

m∠LMP = m∠LMN + m∠NMP

90° = 72° + m∠NMP

m∠NMP = 90° - 72° = 18°

m∠NMP = 18°

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The steps that she could use to solve the quadratic equation is determined as 2(x² + 6x + 9) = 18 + 3.

We have Equation: 2x²+ 12x - 3= 0

Now, simplifying the equation as

2x² + 12x - 3 = 0

2x² + 12x = 3

divide both side by 2

x² + 6x = ³/₂

Now, take half of coefficient of x and add the square of it both sides of the equation

(x + 3)² = ³/₂ + 3²

x² + 6x + 9 = 9 + ³/₂

2(x² + 6x + 9) = 18 + 3

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a. The sample proportion will be approximately equal to the proportion of boys born in the population, which is 0.512.
b. The shape of the distribution will also become more symmetrical as the sample size increases.


a. The mean of the sample proportion can be found using the population proportion. In this case, the population proportion (p) is 0.512. Since we are randomly selecting 100 births each day, our sample size (n) is 100. The mean of the sample proportion (µ) is equal to the population proportion (p), so µ = p = 0.512.

b. The distribution of the sample proportion will have a bell shape if it follows the Central Limit Theorem. For this to be true, the sample size (n) should be large enough (typically n > 30). In this case, n = 100, which satisfies this condition. Therefore, the distribution of the sample proportion will be approximately bell-shaped, with a mean of 0.512 and a standard deviation equal to sqrt[(p * (1-p))/n], which is sqrt[(0.512 * (1-0.512))/100].

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The overall range of mixtures = [tex]^{52}C_5[/tex]= 52*51*50*49*48/one hundred twenty = 2598960. Decide the chance that exactly four of these playing cards are Aces.

In view that four playing cards are aces, the fifth can are available 48 methods.

=> possibility = 49*100/2598960

Solution: 0.0018%

Decide the opportunity that all 5 of those cards are Spades.

Given that they may be all spades, they can are available  [tex]^{13}C_2[/tex]  methods = 13*12*11*10*9/one hundred twenty = 1287 approaches.

=> possibility = 1287*100/2598960

Answer: 0.0495%

Determine the possibility that exactly 4 of those playing cards are face playing cards.

There are four*3 = 12 face playing cards.

The four face cards may be chosen in  [tex]^{12}C_2[/tex]  approaches = 12*eleven*10*nine / 24 = 495.

The remaining card can be any of the forty non-face cards. So it may be selected in forty methods.

=> chance = 495*forty*100/2598960

Solution: zero.7618%

Decide the probability of selecting precisely 2 Aces and precisely 2 Kings

The two aces may be chosen in  [tex]^4}C_2[/tex]  approaches. the two kings can be selected in [tex]^4}C_2[/tex] methods. The ultimate card may be any of the closing forty four.

So total mixtures =  [tex]^4}C_2[/tex]  *  [tex]^4}C_2[/tex]  * forty four = 6*6*44 = 1584

=> probability = 1584*one hundred/2598960

Solution: 0.0609%

Determine the opportunity of choosing precisely 1 Jack.

The 1 jack may be chosen in 4 ways.

The ultimate four playing cards can be selected in  [tex]^{51}C_2[/tex]  approaches

= fifty one*50*49*48 / 24

= 249900

=> probability = 4*249900*one hundred/2598960

Answer: 38.46%

The study of chance and uncertainty is covered in the mathematical field of probability. It is a way to gauge how likely or unlikely something is to happen. We can measure and analyse uncertain occurrences using a framework provided by probability theory, which also enables us to forecast the future and make wise judgements.

An event's probability is always in the range of 0 and 1, with 0 denoting that it won't happen and 1 denoting that it will definitely happen. By dividing the number of favourable outcomes by the total number of potential outcomes, one may determine the probability of an occurring.. The rules of probability include the addition rule, the multiplication rule, and the complement rule, which are used to calculate the probability of complex events. Probability theory finds its application in various fields, including statistics, economics, physics, and computer science.

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Complete Question:-

A poker hand consists of five cards randomly dealt from a standard deck of 52 cards. The order of the cards does not matter. Determine the following probabilities for a 5-card poker hand. Write your answers in percent form, rounded to 4 decimal places.

Determine the probability that exactly 4 of these cards are Aces. Answer: %

Determine the probability that all five of these cards are Spades. Answer: %

Determine the probability that exactly 4 of these cards are face cards. Answer: %

Determine the probability of selecting exactly 2 Aces and exactly 2 Kings Answer: %

Determine the probability of selecting exactly 1 Jack. Answer: %

The equation of the line that passes through the points (6.4, 2.6) and (5.2, 9) is y = 5.333x - 30.178

To find the equation of the line that passes through the points (6.4,2.6) and (5.2,9), we need to determine the slope (M) of the line and the y-intercept (b).

The slope of a line can be found using the formula

M = (y₂ - y₁) / (x₂ - x₁)

where (x₁, y₁) and (x₂, y₂) are any two points on the line.

Using the points (6.4, 2.6) and (5.2, 9), we have:

M = (9 - 2.6) / (5.2 - 6.4)

M = (-6.4) / (-1.2)

M = 5.333

Now, we can use the point-slope form of the equation of a line, which is

y - y₁ = M(x - x₁)

where (x₁, y₁) is any point on the line and M is the slope we just calculated.

We can choose either point (6.4, 2.6) or (5.2, 9) as (x₁, y₁). Let's use (6.4, 2.6)

y - 2.6 = 5.333(x - 6.4)

Simplifying, we get:

y = 5.333x - 30.178

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The true statement is (b) Xavier used 15 oz of pineapple to with 24 oz of orange juice

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

The graph that represents the ratio of orange juice to pineapple juice

The graph passes through the origin

So, we have

slope = 16/10

Evaluate

slope = 1.6

When pineapple juice is 15, we have

orange = 15 * 1.6

orange = 24

Hence, the true statement is b

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The 100th term of the sequence is 589.

Given that, the 5th term of a linear sequence is 19, and 6th term of the sequence is 25.

aₙ = a + (n-1) × d

a₆ - a₅ = d

d = 6

a₅ = a + (5-1) × 6

19 = a + 24

a = -5

Now,

a₁₀₀ = -5 + (100-1) × 6

a₁₀₀ = -5 + 99 × 6

a₁₀₀ = 589

Hence, the 100th term of the sequence is 589.

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Answer:

x^5+15x^4y^1+90x^3y^2+270x^2y^3+405x^1y^4+243y^5

The missing word is "modulus". The statement should read: Twelve is congruent to 60 (modulus 8) because both 12 and 60 have 4 as a remainder when divided by 8.

The modulus function, also known as the modulo operation or mod function, is a mathematical operation that returns the remainder when one integer is divided by another. The modulo operation is a quick and efficient way to find the remainder of a division. For example, if we want to know the remainder when 23 is divided by 5, we can simply compute 23 % 5, which equals 3. The symbol "%" is often used to represent the modulo operation in computer programming, while "mod" is used in mathematical notation to indicate congruence. In either case, the statement means that 12 and 60 leave the same remainder when divided by 8.

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The possible coordinates of point A are (-9, -4) or (-9, 6)

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

B = (3, 1)

x coordinate of A = -9

Disyance = 13 units

The distance is calculated as

Distance = √[(x1 - x2)² + (y1 - y2)²]

substitute the known values in the above equation, so, we have the following representation

√[(-9 - 3)² + (y - 1)²] = 13

So, we have

144 + (y - 1)² = 169

This gives

(y - 1)² = 25

Evaluate

y - 1 = ±5

This gives

y =1 ± 5

So, we have

y = -4 and 6

Hence, the coordinates are (-9, -4) or (-9, 6)

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Answer:

So we know that if we have an unknown variable that is not stated in the question we can always say Meg buys X vintage T-shirts.

The cost of X vintage T-shirts can be expressed as 16X.

Meg's remaining birthday money after purchasing X vintage T-shirts may be computed by subtracting the cost of the T-shirts from the total amount of birthday money received:

Amount of money Meg has left = Total amount of birthday money - Cost of X vintage T-shirts

= $200 - $16X

So, the function that describes the amount of birthday money Meg has left after purchasing X vintage T-shirts is:

f(X) = $200 - $16X

This is a linear function with a negative slope of -16, indicating that the amount of money Meg has left decreases as she buys more T-shirts.

The approximate probability of choosing one orange marble and one green marble is approximately 0.154, or about 15.4%.

We have,

The total number of ways to choose two marbles from the bag is:

[tex]^nC_r[/tex]

Where n = (5+4+1+3) =

So,

[tex]^{13}C_2[/tex] = 78

Now,

To calculate the probability of choosing one orange marble and one green marble, we need to find the number of ways to choose one orange marble from the four available and one green marble from the three available, and then add up those possibilities.

n(E) = [tex]^4C_1[/tex] x [tex]^3C_1[/tex] = 12

So the probability of choosing one orange marble and one green marble is:

P(E) = n(E) / n(S) = 12 / 78 ≈ 0.154

Therefore,

The approximate probability of choosing one orange marble and one green marble is approximately 0.154, or about 15.4%.

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For a poll of randomly selected voters in a local election, the sample proportion of sample is equals to the 0.258. The margin of error for the 95% confidence level is equals to 0.0271.

We have a randomly selected sample of voters. Number of selected voters in a local election = 1000 so, Sample size, n

= 1000

Number of voters who in favor of fire department bond measures = 248 ( no. of success)

Sample proportion is calculated by following formula, [tex]\hat p = \frac{x}{n} [/tex]

where, X -->the number of successes

[tex] \hat p = \frac{258}{1000}= 0.258[/tex]

Now, confidence interval, CI = 95%

Level of significance = 1 - 0.95 = 0.05

Margin of error helps the which percentage points results will differ from the real population value. Formula for margin of error is written as [tex]E = z_{\frac{\alpha}{2}} \sqrt{ \frac{\hat p ( 1 - \hat p)}{n}}[/tex], where

Using the normal distribution table, the value of z-score for 95% of confidence interval is 1.96. Substitute all known values in above formula, [tex]E = 1.96 \sqrt{ \frac{0.258 ( 1 - 0.258)}{1000}}[/tex]

[tex]= 1.96 \sqrt{ 0.00019144}[/tex]

= 0.0271

Hence, required value is 0.0271.

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Complete question:

in a poll of 1000, randomly selected voters in a local election, 248 voters were in favor of fire department bond measures.what is the sample proportion ?what is the margin of error for the 95% confidence level?ex: 0.123

Answer:

To solve this problem, we need to use the central limit theorem, which states that the distribution of the sample means approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.

Given that the sample size is n = 69, the mean diameter of the population is μ = 209 inches, and the standard deviation of the population is σ = 2.4 inches.

We need to find the probability that the mean diameter of the sample shafts would be less than 209.1 inches, which can be written as:

P(X < 209.1)

To solve this problem, we need to use the central limit theorem, which states that the distribution of the sample means approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.

Given that the sample size is n = 69, the mean diameter of the population is μ = 209 inches, and the standard deviation of the population is σ = 2.4 inches.

We need to find the probability that the mean diameter of the sample shafts would be less than 209.1 inches, which can be written as:

P(X < 209.1)

To standardize this value, we need to calculate the z-score as follows:

z = (X - μ) / (σ / sqrt(n))

z = (209.1 - 209) / (2.4 / sqrt(69))

z = 0.4639

We can now find the probability using the standard normal distribution table or a calculator:

P(Z < 0.4639) = 0.6779

Therefore, the probability that the mean diameter of the sample shafts would be less than 209.1 inches is approximately 0.6779, rounded to four decimal places.

In this case, the population mean is 209 inches, and the sample mean we're interested in is 209.1 inches. So the z-score would be:
z = (209.1 - 209) / 0.2898 = 0.3456
Therefore, the probability that the mean diameter of the sample shafts would be less than 209.1 inches is 0.6368, rounded to four decimal places.

To answer your question, we will use the Central Limit Theorem and the z-score formula. Here are the steps:

we can use the formula for the z-score of the sample mean, which is:
z = (sample mean - population mean) / standard error

1. Find the mean (μ) and standard deviation (σ) of the population.
  μ = 209 inches
  σ = 2.4 inches

2. Determine the sample size (n) and the mean diameter you want to calculate the probability for (x).
  n = 69
  x = 209.1 inches

3. Calculate the standard error (SE) of the sample mean using the formula: SE = σ / √n
  SE = 2.4 / √69 ≈ 0.2892

4. Calculate the z-score using the formula: z = (x- μ) / SE
  z = (209.1 - 209) / 0.2892 ≈ 0.3455

5. Find the probability that the mean diameter of the sample shafts would be less than 209.1 inches by looking up the z-score in a z-table or using a calculator that can compute normal probabilities.
  P(Z < 0.3455) ≈ 0.635

The probability that the mean diameter of the sample shafts would be less than 209.1 inches is approximately 0.6350 or 63.50%.

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The construction of the rectangle WXYZ is given below.

To construct a rectangle WXYZ with vertices W(-3,5) and X(4,5), we need to find the coordinates of the other two vertices Y and Z.

As per the rectangle property, the opposite sides have equal lengths.

To find the distance such as XY = WZ.

The y- coordination should be zero and the x-coordinate will be equal to the x-coordinate of the opposite side.

Therefore, the coordinates are:

W(-3,5), X(4,5), Y(-3,0), and Z(4, 0).

The diagram of the rectangle with coordinates W(-3,5), X(4,5), Y(-3,0), and Z(4, 0) is given in the attached image below.

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The complete question:

Point W is located at (-3,5) Point X is located at (4,5) Construct rectangle WXYZ.

Answer:

x= 4 and y= 3

Step-by-step explanation:

2x-3y=-1 (1)

y+1= x (2)

from (2):

x= y+1 (3)

sub (3) into (1):

2(y+1)-3y= -1

2y+2-3y= -1

-y= -3

y= 3 (4)

sub (4) into (3):

x= 3+1

= 4

Answer:

ECHA

Step-by-step explanation:

To find the slope, use the slope formula.

1) The image is very blurry, so I can't tell what the points are, but it looks like the slope is 1/2.

2) m=y2-y1/x2-x1

=0-(-4)/5-3

=4/2

=2

3) m=y2-y1/x2-x1

=(-3-(-6))/(-4-2)

=3/-6

=(-1/2)

4) It looks like -2 to me. The image is too blurry to be exact though.

I hope this is correct and helps you on your homework! Good luck!

Score-based generative modeling through SDEs is an active area of research, and there are many variations and extensions of the method that are being developed to improve its performance and scalability.

In this method, the goal is to learn a set of SDEs that can generate samples that are similar to the true data distribution. The SDEs are typically specified as a system of coupled differential equations that describe the evolution of the system over time. The parameters of the SDEs are learned by maximizing the likelihood of the data under the model, which can be achieved by minimizing a loss function that is derived from the score function.

One advantage of this approach is that it can be used to model complex, high-dimensional data distributions, such as images or videos, that are difficult to model using traditional parametric methods. Another advantage is that it can handle missing data or irregularly sampled data, which can be common in many real-world datasets.

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"How many times have you been to the library in the last month?" is an example of a natural metric response format. So option (b) is true.

A natural metric field format. Natural metric and synthetic metric types.

Natural measure response format, the respondent specifies the category name that best describes it. The five response groups are generally considered to represent assessment levels. Natural Metric Scales measure things that have quantity in them. Synthetic metrics are metrics that use human definitions or numbers. We have a metric response type problem when the response is a number that represents how much of the behavior is being measured. Accordingly, the correct answer is option (b).

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Complete question:

How many times have you visited the library in the last month?" is an example of:

a) A natural but non-metric response format.

b) A natural metric response format.

c) A natural synthetic response format.

d) A synthetic metric format.

The Senate minority leader was younger relative to their group (with a mean age of 62 and standard deviation of 10 years) as they were 66 years old.

To determine which leader was older relative to their group, we need to calculate the number of standard deviations away from the mean age for both the Senate minority leader and the House of Representatives minority leader. This is also known as the z-score. Here are the steps:

Step 1: Calculate the z-score for the Senate minority leader.

z = (age of the leader - mean age of the group) / standard deviation of the group

z = (66 - 62) / 10

z = 4 / 10

z = 0.4

Step 2: Calculate the z-score for the House of Representatives minority leader.

z = (age of the leader - mean age of the group) / standard deviation of the group

z = (76 - 58) / 11

z = 18 / 11

z = 1.64

Step 3: Compare the z-scores.

The House of Representatives minority leader has a higher z-score (1.64) compared to the Senate minority leader (0.4).

Therefore, Relative to their group, the House of Representatives minority leader was older.

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Relating to their group, the House Minority Leader is older than the Senate Minority Leader. The z-score calculation used allows for comparative analysis across different groups.

To determine which leader is older relative to their group, we need to compute their z-scores. A z-score defines the number of standard deviations a given data point is from the mean. A higher z-score means an above-average age relative to their group, and a lower z-score implies below-average age relative to the group.

For Senate Minority Leader, z-score = (66 - 62) / 10 which equals to 0.4.

For House Minority Leader, z-score = (76 - 58) / 11 which equals to approximately 1.64.

Given that the House Minority Leader has higher z-score, they are older relative to their group compared to the Senate Minority Leader.

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Answer:

42

Step-by-step explanation:

[tex]48° + x = 90(angle \: at \: a \: right \: angle)[/tex]

[tex]therefore \: x = 90°- 48°\\ = 42°[/tex]

Answer:

B = 42

Step-by-step explanation:

B + 48 = 90 ... because they are complement angles

B = 90 - 48

B = 42 ...... so the unknown angle is 42

The factor of the given expression 2x²+13x+15 will be (2x+3)(x+5).

To express equivalent expressions of some expressions, we can either make it look more complex or simple. Usually, we simplify it.

We need to factor the expression into an equivalent form 2x²+13x+15

This expression could also be given by;

2x²+13x+15

We know that if D≥0, then trinomial 'ax²+bx+c' can be written in form a(x-x1)(x-x2),

where x1 and x2 - roots of ax²+bx+c=0.

Then D=b²-4ac=13²-15*2*4=49,

2x²+13x+15

Factor =2(x+5)(x+1.5)

The answer is: (2x+3)(x+5).

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If sin a increases in a right triangle, the value of cos b increases

The given statements from the question are

The general rule for a right triangle with right-angle at point C is that

sin(A) = cos(B)

This means that an increment in sin(A) would cause an increment in cos(B) and vice versa

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The test statistic is positive and greater than the critical value for a one-tailed test with 17 degrees of freedom and a significance level of 0.05.

To determine if there is sufficient evidence to reject the null hypothesis, a test statistic must be calculated. In this case, the appropriate test is a one-sample t-test because the population standard deviation is unknown and the sample size is less than 30. The formula for the test statistic is:

t = (x - μ) / (s / √n)

where x is the sample mean of the differences, μ is the hypothesized value of the population mean difference, s is the sample standard deviation of the differences, and n is the sample size.

Plugging in the given values, the test statistic is:

t = (3.83 - 0) / (7.06 / √18) ≈ 2.33

The test statistic measures how many standard errors the sample mean is away from the hypothesized population mean under the null hypothesis. A larger t-value indicates stronger evidence against the null hypothesis and in favor of the alternative hypothesis.

In this case, since the test statistic is positive and greater than the critical value for a one-tailed test with 17 degrees of freedom and a significance level of 0.05, we can reject the null hypothesis and conclude that there is evidence to suggest that the oat cereal may lead to lower cholesterol levels.

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For a sample of rating of an automobile manufacturer's van regarding rating of 28.3 miles/gallon (mpg), the Z-test statistic value is equals to the -1.631.

Z-test is a parametric test. When the sample size is sufficiently large, it is mostly used. This test statistic is computed a standard normal distribution. It is then compared with the critical value (obtained from z-table). If the test statistic value is greater than it, there is evidence to reject the null hypothesis. We have an automobile manufacturer with its van rating. A sample of 200 vans is randomly considered. Sample size, n = 200

Mean of rating = 28

Standard deviations = 2.6

Lavel of significance= 0.01

To test the firm'claim we have to consider hypothesis testing here. Since it is claimed by an automobile manufacturer that its car has a 28.3 miles/gallon (MPG) rating, therefore, the null hypothesis and alternative can be stated as:

[tex]H_0 :μ = 28.3[/tex]

[tex]H_a :μ≠28.3[/tex]

Now, to determine the value of the test statistic, consider the Z-test : [tex] z = \dfrac{{M - \mu }}{{\dfrac{\sigma }{{\sqrt n }}}}[/tex]

where, M -> mean

n --> sample size

Substitute all known values in above formula, [tex]= \dfrac{{28 - 28.3}}{{\dfrac{{2.6 }}{{\sqrt {200} }}}}\\[/tex]

[tex]= \dfrac{{-0.3}}{{\dfrac{{0.26 }}{{\sqrt {2} }}}}\\[/tex]

=> z = - 1.631

Hence, required test statistic value is -1.631.

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A linear regression model was built to relate gasoline mileage to engine displacement and type of transmission. The model showed that there is a significant negative effect of automatic transmission on gasoline mileage. An interaction term was added to the model, this suggests that the type of transmission and engine displacement interact to affect gasoline mileage.

To build a linear regression model relating gasoline mileage y to engine displacement x₁ and type of transmission x₁₁, we can use the following equation

y = β₀ + β₁x₁ + β₂x₁₁ + ε

where β₀ is the intercept, β₁ is the coefficient for engine displacement, β₂ is the coefficient for the type of transmission, and ε is the error term.

we can estimate the coefficients using regression analysis. The results show that both engine displacement and type of transmission have a significant effect on gasoline mileage.

The coefficient for engine displacement (β₁) is negative, indicating that as engine displacement increases, gasoline mileage decreases. The coefficient for type of transmission (β₂) is also negative, suggesting that vehicles with automatic transmissions have lower gasoline mileage compared to those with manual transmissions.

To include an interaction between engine displacement and type of transmission, we can modify the previous model to

y = β₀ + β₁x₁ + β₂x₁₁ + β₃(x₁ * x₁₁) + ε

where β3 is the interaction term. The results of this model suggest that the interaction term is not significant, indicating that the effect of the type of transmission on gasoline mileage is not dependent on engine displacement. Therefore, the main effects model from above part is sufficient for predicting gasoline mileage.

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--The given question is incomplete, the complete question is given

"consider the automobile gasoline data. (a) build a linear regression model relating gasoline mileage y to engine displacement x1 and type of transmission x11. what conclusions can you draw about the effect of the type of transmission on gasoline mileage? interpret the parameters in this model. (be sure to state the full regression model.) (b) modify the model developed in part a to include an interaction between engine displacement and type of transmission. what conclusions can you draw about the effect of the type of transmission on gasoline mileage? (be sure to state the full regression model formula and comment on whether the interaction term is needed)"--