Hint(s) Check M 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...


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Hint(s) Check M<br>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.<br>ŷ = -1.41 + 0.0235a1 + 0.00486x2<br>where<br>¤1 = high-school grade point average<br>22 = SAT mathemathics score<br>y = final college grade point average<br>Round test statistic values to 2 decimal places and all other values to 4 decimal places, Do not round vour intermediate calculations.<br>a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers.<br>SUMMARY OUTPUT<br>Regression Statistics<br>Multiple R<br>R Square<br>Adjusted R Square<br>Standard Error<br>Observations<br>ANOVA<br>df<br>MS<br>Significance F<br>Regression<br>1.76209<br>Residual<br>Total<br>1.88<br>Coefficients<br>Standard Error<br>t Stat<br>P-value<br>Intercept<br>-1.4053<br>0.4848<br>X1<br>0.023467<br>0.0086666<br>X2<br>0.00486<br>0.001077<br>

Extracted text: Hint(s) Check M 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. ŷ = -1.41 + 0.0235a1 + 0.00486x2 where ¤1 = high-school grade point average 22 = 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 vour 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 df MS Significance F Regression 1.76209 Residual Total 1.88 Coefficients Standard Error t Stat P-value Intercept -1.4053 0.4848 X1 0.023467 0.0086666 X2 0.00486 0.001077

Jun 08, 2022
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