SUMMARY OUTPUT Regression Statistics Multiple R 0.905331 R Square 0.819625 Adjusted R 0.812109 Standard Ei 6248.109 Observatioi 26 ANOVA df 1 4.26E+09 4.26E+09 109.0559 SS MS ignificance F Regression...

a. Predict the Starting Salary for students with a cumulative GPA of 5.5 upon graduation.

b. Use the template to generate a 98% confidence interval for the mean around your prediction.

Extracted text: SUMMARY OUTPUT Regression Statistics Multiple R 0.905331 R Square 0.819625 Adjusted R 0.812109 Standard Ei 6248.109 Observatioi 26 ANOVA df 1 4.26E+09 4.26E+09 109.0559 SS MS ignificance F Regression 2.09E-10 Residual 24 9.37E+08 39038865 Total 25 5.19E+09 Coefficients:andard Erre t Stat P-value Lower 95% Upper 95%.ower 95.0%Jpper 95.0% Intercept 10598.58 4111.368 2.577871 0.016509 2113.13 19084.02 2113.13 19084.02 Student GP 6971.384 667.5663 10.44298 2.09E-10 5593.595 8349.173 5593.595 8349.173


Extracted text: Student GPA starting salaries 4.5 48094 X value: 6.8 alpha: 0.01 26 5.8 42400 std error 6248.109 6.1 50987 intercept 10598.58 5.5 40598 slope 6971.384 t 2.79694 4.7 53500 x-bar 5.878846 4.1 36184 var(x) 3.504035 3.9 32115 Prediction 58003.99 Prediction Interval 6.5 51250 40112.64 75895.33 5.6 45155 Confidence Interval 4.8 37108 54169.39 61838.58 3.5 34540 4.05 39250 starting salaries 4.5 41500 7.5 60230 90000 7.4 58750 80000 6.2 52900 70000 7.8 58700 y = 6971.4x + 10599 4.5 40135 60000 R = 0.8196 8.8 70214 50000 starting salaries 8.5 73065 40000 Linear(starting salaries ) 8.7 68952 30000 3.5 38786 20000 2.5 39102 10000 7.5 71020 1 2 3 4 7 8 9 10 8.1 75401 8.3 81203