1 answer

A company would like to examine the linear relationship between the age and credit score of...

Question:

A company would like to examine the linear relationship between the age and credit score of an individual. The following tabl
A company would like to examine the linear relationship between the age and credit score of an individual. The following table shows the credit scores and ages of 5 randomly selected people. These data have a sample correlation coefficient, rounded to three decimal places, of 0.970. Using this data and a = 0.05, test if the population correlation coefficient between a person's age and credit score is different than zero. What conclusions can you draw? Age 39 27 55 26 34 D Credit score 670 650 755 620 655 What are the correct null and alternative hypotheses? O A. Ho:p0 Hyp=0 O C. Ho: p>0 н: p=0 OB. Ho:p=0 H:p> 0 OD. HO:20 нар О What is the test statistic? ta (Round to two decimal places as needed.) What is the p-value? p-value (Round to three decimal places as needed.)

Answers

The statistical software output for this problem is :

Simple linear regression results: Dependent Variable: y Independent Variable: x y=518.29668 +4.1906994 x Sample size: 5 R (co

Option D) is correct.

Test statistics = 6.94

P-value = 0.006

.

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