Write the correct answer in the blanks below and include your output with this page when you turn it in.

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 = -.70

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

What percent of the variance in driving speed can we account for by knowledge of age? = 48.77%

What is the slope of the regression line?= -0.370

What number reflects the error in prediction ?

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

What number reflects the error in prediction7.6864

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

What does the slope in the regression line above mean.

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