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2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)

2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. With the aim of predicting the used selling price from the number of miles driven, we might examine the least-squares regression line, y=41.57 – 0.49.x. This line is shown in the scatter plot in Figure 1. Used selling price, Mileage, x (in thousands) (in thousands of dollars) 25.9 26.1 28.1 26.2 40- 21.1 31.4 24.0 27.5 35 27.2 30.9 38.7 21.4 30. 34.6 25.5 37.2 23.5 15.6 34.0 25- 23.8 28.0 20.9 30.9 20. 23.1 32.7 28.0 30.3 40 29.2 28.1 Figure 1 24.0 29.6 23.0 31.5 Send data to Excel
Transcribed Image Text:The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. With the aim of predicting the used selling price from the number of miles driven, we might examine the least-squares regression line, y=41.57 – 0.49.x. This line is shown in the scatter plot in Figure 1. Used selling price, Mileage, x (in thousands) (in thousands of dollars) 25.9 26.1 28.1 26.2 40- 21.1 31.4 24.0 27.5 35 27.2 30.9 38.7 21.4 30. 34.6 25.5 37.2 23.5 15.6 34.0 25- 23.8 28.0 20.9 30.9 20. 23.1 32.7 28.0 30.3 40 29.2 28.1 Figure 1 24.0 29.6 23.0 31.5 Send data to Excel
1. Fill in the blank: For these data, used selling prices that are greater than the mean of the used selling prices tend to be paired with mileages that are. Choose one the mean of the mileages. 2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)
Transcribed Image Text:1. Fill in the blank: For these data, used selling prices that are greater than the mean of the used selling prices tend to be paired with mileages that are. Choose one the mean of the mileages. 2. Fill in the blank: According to the regression equation, for an increase of one thousand miles in Cadet mileage, there is a corresponding price. Choose one of 0.49 thousand dollars in the used selling 3. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 23.8 thousand miles? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted used selling price (in thousands of dollars) when the mileage is 25.3 thousand miles? (Round your answer to at least one decimal place.)
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