I am currently stuck on the problems that are bolded. Thank you!

Problem 1

A traffic safety officer conducted an experiment to determine whether there is a correlation between people's ages and driving speeds. Six individuals were randomly sampled and the following data were collected. Compute a pearson r and then construct a least squares regression equation using age to predict driving speed.

Age

20

25

45

46

60

65

Speed (mph)

60

47

55

38

45

35

Compute a pearson r and then construct a least squares regression equation using Age to predict driving speeds.

Compute a scatter plot (simple scatter) and paste the output below

What is Peason r? - .698

What is the least squares regression equation for using age to predict driving speeds.

Y = - .371x + 62.79

What percent of the variance in driving speed can we account for by knowledge of age? 49%

What is the slope of the regression line? - .371

What number reflects the error in prediction? 7.68645

What is the 95%confidence interval for the regression slope?

What number reflects the error in prediction 7.68645

When testing the null hypothesis for the regression coefficient that H₀: b=0, what is the t ration used?

-1.9515

What does the slope in the regression line above mean.

The slope does not significantly differ from 0. It means that as each unit changes (age), then the driving speed decreases.

From the output of the analysis report the number that indicates the SS that are not explained by age.