(f) Suppose that you are considering purchasing a previously owned Camry that has been driven 30,000 miles. Use the estimated regression equation developed in part (b) to predict the pric car. If required, round your answer to one decimal place. Do not round intermediate calculations. Enter your answer in dollars. For example, 12 thousand should be entered as 12,000. Predicted price: $ Is this the price you would offer the seller? Explain. (i) Regardless of other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is not a reasonable price to expect to pay for a Cam has been driven 30,000 miles miles. (ii) Depending on other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is a reasonable price to expect to pay for a Camry th been driven 30,000 miles miles. Option (ii)

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Chapter1: Starting With Matlab
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Kindly answer LETTER F only

If required, round your answer to two decimal places.
53.86
(e) For the model estimated in part (b), calculate the predicted price and residual for each automobile in the data. Identify the two automobiles that were the biggest bargains.
If required, round your answer to the nearest whole number.
The best bargain is the Camry #
in the data set, which has
The second best bargain is the Camry #
12
4
28,000
in the data set, which has
miles, and sells for $
47,000
miles, and sells for $
2,326
less than its predicted price.
2211 less than its predicted price.
(f) Suppose that you are considering purchasing a previously owned Camry that has been driven 30,000 miles. Use the estimated regression equation developed in part (b) to predict the price for this
car.
If required, round your answer to one decimal place. Do not round intermediate calculations. Enter your answer in dollars. For example, 12 thousand should be entered as 12,000.
Predicted price: $
Is this the price you would offer the seller? Explain.
(i) Regardless of other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is not a reasonable price to expect to pay for a Camry that
has been driven 30,000 miles miles.
(ii) Depending on other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is a reasonable price to expect to pay for a Camry that has
been driven 30,000 miles miles.
Option (ii)
Transcribed Image Text:If required, round your answer to two decimal places. 53.86 (e) For the model estimated in part (b), calculate the predicted price and residual for each automobile in the data. Identify the two automobiles that were the biggest bargains. If required, round your answer to the nearest whole number. The best bargain is the Camry # in the data set, which has The second best bargain is the Camry # 12 4 28,000 in the data set, which has miles, and sells for $ 47,000 miles, and sells for $ 2,326 less than its predicted price. 2211 less than its predicted price. (f) Suppose that you are considering purchasing a previously owned Camry that has been driven 30,000 miles. Use the estimated regression equation developed in part (b) to predict the price for this car. If required, round your answer to one decimal place. Do not round intermediate calculations. Enter your answer in dollars. For example, 12 thousand should be entered as 12,000. Predicted price: $ Is this the price you would offer the seller? Explain. (i) Regardless of other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is not a reasonable price to expect to pay for a Camry that has been driven 30,000 miles miles. (ii) Depending on other factors not considered in the model (various options, the physical condition of the body and interior, etc.), this is a reasonable price to expect to pay for a Camry that has been driven 30,000 miles miles. Option (ii)
What does the scatter chart indicate about the relationship between price and miles?
The scatter chart indicates there may be a negative
negative
linear relationship between miles and price. Since a Camry with higher miles will generally sell for a lower price, a
relationship is expected between these two variables. This scatter chart is
consistent with what is expected.
(b) Develop an estimated regression equation showing how price is related to miles. What is the estimated regression model?
Let x represent the miles.
If required, round your answers to four decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
S₂
ŷ
16.4698
-0.0588
(c) Test whether each of the regression parameters Bo and B₁ is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these
interpretations reasonable?
(i) We can conclude that both Bo and B₁ are equal to zero, where Bo is the estimated change in price in thousands of dollars for a increase of 1,000 miles and 3₁ is the estimated price in
thousands of dollars when the number of miles is zero. The interpretation of Bo is not reasonable but the interpretation of B₁ is reasonable.
(ii) We cannot conclude that neither Bo nor B₁ are equal to zero, where Bo is the estimated price in thousands of dollars when the number of miles is zero and B₁ is the estimated change in price
in thousands of dollars for a increase of 1,000 miles. The interpretation of Bo is reasonable but the interpretation of B₁ is not reasonable.
(iii) We can conclude that neither Bo nor B₁ are equal to zero, where Bo is the estimated price in thousands of dollars when the number of miles is zero and B₁ is the estimated change in price in
thousands of dollars for a increase of 1,000 miles. The interpretation of Bo is not reasonable but the interpretation of B₁ is reasonable.
(iv) We can conclude that Bo = 0 but B₁ * 0, where Bo is the estimated change in price in thousands of dollars for a increase of 1,000 miles and B₁ is the estimated price in thousands of dollars
when the number of miles is zero. Both interpretations are reasonable.
Option (iii)
(d) How much of the variation in the sample values of price does the model estimated in part (b) explain?
If required, round your answer to two decimal places.
53.86
Transcribed Image Text:What does the scatter chart indicate about the relationship between price and miles? The scatter chart indicates there may be a negative negative linear relationship between miles and price. Since a Camry with higher miles will generally sell for a lower price, a relationship is expected between these two variables. This scatter chart is consistent with what is expected. (b) Develop an estimated regression equation showing how price is related to miles. What is the estimated regression model? Let x represent the miles. If required, round your answers to four decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) S₂ ŷ 16.4698 -0.0588 (c) Test whether each of the regression parameters Bo and B₁ is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? (i) We can conclude that both Bo and B₁ are equal to zero, where Bo is the estimated change in price in thousands of dollars for a increase of 1,000 miles and 3₁ is the estimated price in thousands of dollars when the number of miles is zero. The interpretation of Bo is not reasonable but the interpretation of B₁ is reasonable. (ii) We cannot conclude that neither Bo nor B₁ are equal to zero, where Bo is the estimated price in thousands of dollars when the number of miles is zero and B₁ is the estimated change in price in thousands of dollars for a increase of 1,000 miles. The interpretation of Bo is reasonable but the interpretation of B₁ is not reasonable. (iii) We can conclude that neither Bo nor B₁ are equal to zero, where Bo is the estimated price in thousands of dollars when the number of miles is zero and B₁ is the estimated change in price in thousands of dollars for a increase of 1,000 miles. The interpretation of Bo is not reasonable but the interpretation of B₁ is reasonable. (iv) We can conclude that Bo = 0 but B₁ * 0, where Bo is the estimated change in price in thousands of dollars for a increase of 1,000 miles and B₁ is the estimated price in thousands of dollars when the number of miles is zero. Both interpretations are reasonable. Option (iii) (d) How much of the variation in the sample values of price does the model estimated in part (b) explain? If required, round your answer to two decimal places. 53.86
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