## (CORRECT ANSWER) MATH225N Week 8 Assignment : Predictions Using Linear Regression

$5.00

## Description

**Question**

Janet is studying the relationship between the average number of minutes spent exercising per day and math test scores and has collected the data shown in the table. The line of best fit for the data is yˆ=0.46x+66.4. Assume the line of best fit is significant and there is a strong linear relationship between the variables.

(a) According to the line of best fit, what would be the predicted test score for someone who spent 23 minutes exercising? Round your answer to two decimal places.

Provide your answer below:

**Question**

*Janet is studying the relationship between the average number of minutes spent exercising per day and math test scores and has collected the data shown in the table. The line of best fit for the data is *yˆ=0.46x+66.4*.*

*(a) According to the line of best fit, the predicted test score for someone who spent *23* minutes exercising is *76.98*.*

(b) Is it reasonable to use this line of best fit to make the above prediction?

Select the correct answer below:

- The estimate, a predicted test score of 76.98, is reliable and reasonable.
- The estimate, a predicted test score of 76.98, is unreliable but reasonable.
- The estimate, a predicted test score of 76.98, is unreliable and unreasonable.
- The estimate, a predicted test score of 76.98, is reliable but unreasonable.

**Question**

The table shows data collected on the relationship between the time spent studying per day and the time spent reading per day. The line of best fit for the data is yˆ=0.16x+36.2. Assume the line of best fit is significant and there is a strong linear relationship between the variables.

- According to the line of best fit, what would be the predicted number of minutes spent reading for someone who spent 67minutes studying? Round your answer to two decimal places.

Ans:

**Question**

*The table shows data collected on the relationship between the time spent studying per day and the time spent reading per day. The line of best fit for the data is *yˆ=0.16x+36.2*.*

* **(a) According to the line of best fit, the predicted number of minutes spent reading for someone who spent *67* minutes studying is *46.92*.*

(b) Is it reasonable to use this line of best fit to make the above prediction?

Select the correct answer below:

- The estimate, a predicted time of 46.92 minutes, is both reliable and reasonable.
- The estimate, a predicted time of 46.92 minutes, is both unreliable and unreasonable.
- The estimate, a predicted time of 46.92 minutes, is reliable but unreasonable.
- The estimate, a predicted time of 46.92 minutes, is unreliable but reasonable.

**Question**

Michelle is studying the relationship between the hours worked (per week) and time spent reading (per day) and has collected the data shown in the table. The line of best fit for the data is yˆ=−0.79x+98.8. Assume the line of best fit is significant and there is a strong linear relationship between the variables.

- According to the line of best fit, what would be the predicted number of minutes spent reading for a person who works 27hours (per week)? Round your answer to two decimal places, as needed.

Provide your answer below:

Ans.

* ***QUESTION **

*Michelle is studying the relationship between the hours worked (per week) and time spent reading (per day) and has collected the data shown in the table. The line of best fit for the data is *yˆ=−0.79x+98.8*.*

* (a) According to the line of best fit, the predicted number of minutes spent reading for a person who works *27* hours (per week) is *77.47*.*

(b) Is it reasonable to use this line of best fit to make the above prediction?

Select the correct answer below:

- The estimate, a predicted time of 77.47 minutes, is unreliable but reasonable.
- The estimate, a predicted time of 77.47 minutes, is reliable but unreasonable.
- The estimate, a predicted time of 77.47 minutes, is both unreliable and unreasonable.
- The estimate, a predicted time of 77.47 minutes, is both reliable and reasonable.

**Kindly click **** ADD TO CART ****above to access the full sample at only $5**** **