A track and field coach measured the stride rate of her top female runners for different speeds. The following table lists the average stride rate (steps per second) of these women versus the speed (ft/s).

Speed (ft/s) 15.76 16.98 17.6 18.62 19.87 21.16 22.11

Stride rate 3.15 3.22 3.17 3.25 3.36 3.56 3.55

The linear regression equation for these data isy=0.07x+1.98withR²=0.905.What does theR²tell you about the equation and the data?

1. The positiveR²value implies a positive slope.

2.The closeness to one implies the distances from the trendline to the data points is significant.

3.The closer to oneR²approaches, the stronger a quadratic relationship is implied.

4..The closeness to one implies that every increase of one step per second increases speed by 0.07 ft/s.

5..The closeness to one implies a strong linear relationship.

(c)Make a table showing the predictions of the stride rate using the regression equation above. (Round your answer to two decimal places.)

Speed (ft/s) 15.76 16.98 17.6 18.62 19.87 21.16 22.11

Stride rate _______ ______ _____ ______ _____ ______ ______

*Can you please explain how to get the answers for (c)Make a table showing the predictions of the stride rate using the regression equation above. I am taking this class online and the teacher does not explain how to do it and the book is horrible. Thank you, Thank you