Question: 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
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.
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