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

What is the predicted starting salary for a student with a GPA of 6.8 (to the nearest dollar)?

What is the appropriate value for alpha when creating a 95% Prediction Interval?

What value should be used for t in the formula to compute a 95% Prediction Interval (3 decimals)?

Extracted text: SUMMARY OUTPUT Regression Statistics Multiple R 0.905331 R Square 0.819625 Adjusted R 0.812109 Standard Ei 6248.109 Observatio 26 ANOVA df MS ignificance F Regression 1 4.26E+09 4.26E+09 109.0559 2.09E-10 Residual 24 9.37E+08 39038865 Total 25 5.19E+09 Coefficientsandard Erre t Stat P-value Lower 95% Upper 95% ower 95.09/pper 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 5.8 42400 6.1 50987 5.5 40598 4.7 53500 4.1 36184 3.9 32115 6.5 51250 5.6 45155 4.8 37108 3.5 34540 4.05 39250 starting salaries 4.5 41500 7.5 60230 90000 7.4 58750 80000 6.2 52900 70000 y = 6971.4x + 10599 R = 0.8196 7.8 58700 60000 4.5 40135 50000 8.8 70214 starting salaries 40000 8.5 73065 -Linear (starting salaries ) 8.7 68952 30000 3.5 38786 20000 2.5 39102 10000 7.5 71020 8.1 75401 2. 6. 10 8.3 81203 เก่ เก่ -00 00 oc