The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high-school GPA. y = -1.41 + 0.023521 + 0.00486.#2 where #1 = high-school grade point average 42 = SAT mathemathics score y = final college grade point average Round test statistic values to 2 decimal places and all other values to 4 decimal places. Do not round your intermediate calculations. a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. SUMMARY OUTPUT Regression Statistics Multiple R R. Square Adjusted R Square Standard Error Observations ANOVA F 55 MS F Significance F Regression 2 1.76209 0.00 Residual Tota 9 1.88 Coefficients Standard Error t Stat P-value Intercept 1.4053 0.4848 X1 0.023467 0.0086666 X2 0.00486 0.001077 b. Using o = 0.05, test for overall significance. - Select your answer - c. Did the estimated regression equation provide a good fit to the data? Explain. - Select your answer - , because the R value is | - Select your answer - than 0.50. d. Use the * test and a = 0.05 to test Ho : 8, = 0 and Ho : 8: = 0. Use t table. For 1, the p-value is - Select your answer - V , so - Select your answer - Ho : 81 = 0. For By the p-value is - Select your answer - V , so - Select your answer - | Ho : B, = 0