Correlation between Visit (Variable 4)and Age(Variable 6) is:

0.43982816

Using the appropriate formula from the text and

your calculator compute the Pearson correlation coefficient (r)

that measures the strength of the linear relationship between Variable 4 and Variable 6,

based on the twenty 20 pairs of sample data values you created for these two variables

.Use this result to test the following hypothesis:

At a 5% level of significance, conduct the appropriate hypothesis test

to see if the population correlation coefficient relating Variable 4 and Variable 6 is significantly different from

zero, based on the twenty 20 pairs of sample data values you created for these two variables in Problem 1

.In your answer make sure that you show H0and Ha sketch the sampling distribution showing the

critical value(s) and the rejection region. Use your calculator to

compute the test statistic and also state the decision and conclusion in

the context of the question.

Simple linear regression results:

Dependent Variable: Age

Independent Variable: Visit

Age = 25.15625 + 5.3854167 Visit

Sample size: 20

R (correlation coefficient) = 0.43982816

R-sq = 0.19344881

Estimate of error standard deviation: 11.357078