I need help with my assignment. The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to thestudent's SAT mathematics score and high-school GPA.ŷ = -1.4053 + .0235x1 + .0049x2where= high-school grade point averagexz = SAT mathematics scorey = final college grade point averageRound your answers to 4 decimal places.a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers.ANOVAdfMSFSignificance FRegression21.76210.88105Residual.11790.01685Total1.88CoefficientsStandard Errort StatP-valueIntercept-1.40530.48480.24x10.02350.00870.0302X20.00490.00110.003

Name: I need help with my assignment. The admissions officer for Clearwater
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Description: I need help with my assignment. The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to thestudent's SAT mathematics score and high-school GPA.ŷ = -1.4053 + .0235x1 + .0049

The F statistic is given byF = MSregMSresF = 0.88105 0.01685 = 52.28783 Significance F = p-value…

Math

Statistics

a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df SS MS Significance F Regression 1.7621 2. 0.88105 Residual .1179 0.01685 Total 1.88 Coefficients Standard Error t Stat P-value Intercept -1.4053 0.4848 0.24 X1 0.0235 0.0087 0.0302 X2 0.0049 0.0011 0.003

a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df SS MS Significance F Regression 1.7621 2. 0.88105 Residual .1179 0.01685 Total 1.88 Coefficients Standard Error t Stat P-value Intercept -1.4053 0.4848 0.24 X1 0.0235 0.0087 0.0302 X2 0.0049 0.0011 0.003

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...

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The admissions officer for a certain college developed the following estimated regression equation relating the final college GPA to the student's SAT mathematics score and high school GPA. ŷ = −1.39 + 0.0234x1 + 0.00482x2 where x1 = high-school grade point average x2 = SAT mathematics score y = final college grade point average. #1)A high-school average 84 corresponds to x1 = 84 and a score of 535 on the SAT mathematics test corresponds to x2 = 535. Substitute these values into the estimated regression equation to find the final college GPA, rounding the result to two decimal places. GPA = −1.39 + 0.0234x1 + 0.00482x2 = -1.39 +0.0234 (_____________) + 0.00482 (535) = __________________
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