GPA Salary ($) 2.22 72,000 2.27 48,000 2.57 72,000 2.59 64,000 2.77 88,000 2.85 98,000 3.12 133,000 3.35 130,000 3.66 157,000 3.68 162,000 A). Use these data to develop an estimated regression equation that can be used to predict annual salary 10 years after graduation given college GPA. (Let x = GPA, and let y = salary (in $). Round your numerical values to the nearest integer.) B). Find the value of the test statistic. (Round your answer to two decimal places.) C). Find the p-value. (Round your answer to three decimal places.) p-value =.

1. GPA Salary ($) 2.22 72,000 2.27 48,000 2.57 72,000 2.59 64,000 2.77 88,000 2.85 98,000 3.12
133,000 3.35 130,000 3.66 157,000 3.68 162,000
A). Use these data to develop an estimated regression equation that can be used to predict annual
salary 10 years after graduation given college GPA. (Let x = GPA, and let y = salary (in $). Round
your numerical values to the nearest integer.)
B). Find the value of the test statistic. (Round your answer to two decimal places.)
C). Find the p-value. (Round your answer to three decimal places.)
p-value =