41 Multiple Regression Output from EXCEL is shown below at alpha 0.05SUMMARY OUTPUTRegression StatisticsMultiple R0.99868R Square0.99736Adjusted R Square0.99670Standard Error0.00883Observations11ANOVAdfSSMSSignificance FRegression20.23563464.877E-11Residual80.0006243Total100.2362589CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0% Upper 95.0%Intercept-0.110500.25007-0.441870.67028-0.687160.46616-0.687160.46616Dielectric Constant0.407170.168172.421200.041770.019370.794970.019370.79497Loss Factor2.107975.833620.361350.72720-11.3443815.56032-11.3443815.56032 Which of the following is the multiple regression model for the data?Oy= -0.44187 + 2.42120x1 + 0.36135x2Oy- -0.11050 + 2.10797x1+ 0.40717x2O None of the ChoicesOy= 0.23563+0.00062x, + 0.23626x2Oy=-0.11050 + 0.40717x1+ 2.10797x2

Given : β0 = -0.11050 β1 = 0.40717 β2 = 2.10797

Answered: Multiple Regression Output from EXCEL…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 492.528125 492.528125 10.65525634 0.046980871 Residual 3 138.671875 46.22395833 Total 4 631.2 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 23.1328125 5.324310936 4.344752359 0.022510469 6.188478833 40.07714617 Expend 3.1015625 0.950164031 3.264239014 0.046980871 0.077716489 6.125408511 a. From the Excel-generated Regression output above, give the value of b subscript o, the estimated y-intercept. Round off your answer to the fourth decimal place. b subscript 0 = Blank 1. Fill in the blank, read surrounding text. b. From the Excel-generated Regression output above, give the value of b subscript 1, the estimated slope. Round off your answer to…
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