While investigating how a car's odometer reading (mileage) affects its sale price, a researcher collects data for the sale price of 47 used (preowned) 2019 Toyota Camrys of the same trim level (package). Mileage is inthousands of kmand Sale Price is inthousands of dollars.

Click here to reveal the data

Download CSVfileUse software to generate a linear regression output for the data. Report numeric answers accurate to at least 4 decimal places or copy output results and paste directly into the boxes.

1. The independent variable isSelect an answer

Mileage

Sale Price

Correct

.

2. The slope of the regression equation for the linear relationship =Incorrect

.

This indicates that the relationship isSelect an answer

negative

positive

weak

very weak

strong

Correct

.

Thus, asMileageincreases,Sale PriceSelect an answer

decreases

increases

Correct

on average.

3. The y-intercept =Incorrect

. Considering these are used cars, does the y-intercept have a practical meaning for these data??

No

Yes

Correct

. Why?Select an answer

Because the slope can't be zero.

Because the intercept can be negative.

Because the slope can be negative.

Because the intercept can be zero.

Because car mileage can't be zero.

Correct

4. The correlation coefficient =Incorrect

. This indicates aSelect an answer

strong

very weak

neutral

weak

linear relationship.

5. The percentage of the variation inSale Pricethat is explained byMileage(to 2 decimal places) isIncorrect

%

%

.

6. Use the unrounded results from regression output to predict the sale price of one of these cars with a mileage of 32,340 km. Report your answer to the nearest dollar. Do not round intermediate results.

Predicted Sale Price =$