Using and Analyzing Regression Lines

The regression line modeling the number of push-ups Juan does each day is y = 0.631x + 0.0357.

Which one doesn't explain the graph correctly?

1. There is a negative correlation between time (in days) and the number of push-ups Juan does.

2. Juan increases the number of push-ups he does by about 0.631 each day.

3. The response variable is the number of push-ups

4. The explanatory variable is time (days)

Question

Sheridan

Mathematics

2 January, 08:49

Using and Analyzing Regression Lines

The regression line modeling the number of push-ups Juan does each day is y = 0.631x + 0.0357.

Which one doesn't explain the graph correctly?

1. There is a negative correlation between time (in days) and the number of push-ups Juan does.

2. Juan increases the number of push-ups he does by about 0.631 each day.

3. The response variable is the number of push-ups

4. The explanatory variable is time (days)

+2

Answers (1)

Know the Answer?

Tania Cantrell · Answer 1

1. There is a negative correlation between time (in days) and the number of push-ups Juan does.

Step-by-step explanation:

The slope of the regression line (0.631) is positive, so the correlation between days and pushups is positive.