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Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at a = 0.05. MS F Significance F 54.410 0.000 SS ANOVA df Regression 1 44,361,183.07 44,361,183.07 Residual 18 14,675,595.66 815,310.870 Total 19 92,628,674.92 Multiple Choice О PF(1,18) ≥54.410), p-value is less than a = 0.05, we reject Ho, and the predictor variables are jointly significant in explaining Earnings. О PF(1,19) ≥60.458), p-value is less than a = 0.05, we accept Hg, and the predictor variables do not jointly explain Earnings. о PF(1,18) ≥54.410), p-value is less than a = 0.05, we accept Hg, and the predictor variables are jointly significant in explaining Earnings. о PF(1,19) ≥ 60.458), p-value is less than α = 0.05, we reject Ho, and the predictor variables jointly do not explain Earnings.

Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at a = 0.05. MS F Significance F 54.410 0.000 SS ANOVA df Regression 1 44,361,183.07 44,361,183.07 Residual 18 14,675,595.66 815,310.870 Total 19 92,628,674.92 Multiple Choice О PF(1,18) ≥54.410), p-value is less than a = 0.05, we reject Ho, and the predictor variables are jointly significant in explaining Earnings. О PF(1,19) ≥60.458), p-value is less than a = 0.05, we accept Hg, and the predictor variables do not jointly explain Earnings. о PF(1,18) ≥54.410), p-value is less than a = 0.05, we accept Hg, and the predictor variables are jointly significant in explaining Earnings. о PF(1,19) ≥ 60.458), p-value is less than α = 0.05, we reject Ho, and the predictor variables jointly do not explain Earnings.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at a = 0.05. MS F Significance F 54.410 0.000 SS ANOVA df Regression 1 44,361,183.07 44,361,183.07 Residual 18 14,675,595.66 815,310.870 Total 19 92,628,674.92 Multiple Choice О PF(1,18) ≥54.410), p-value is less than a = 0.05, we reject Ho, and the predictor variables are jointly significant in explaining Earnings. О PF(1,19) ≥60.458), p-value is less than a = 0.05, we accept Hg, and the predictor variables do not jointly explain Earnings. о PF(1,18) ≥54.410), p-value is less than a = 0.05, we accept Hg, and the predictor variables are jointly significant in explaining Earnings. о PF(1,19) ≥ 60.458), p-value is less than α = 0.05, we reject Ho, and the predictor variables jointly do not explain Earnings.
Transcribed Image Text:Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at a = 0.05. MS F Significance F 54.410 0.000 SS ANOVA df Regression 1 44,361,183.07 44,361,183.07 Residual 18 14,675,595.66 815,310.870 Total 19 92,628,674.92 Multiple Choice О PF(1,18) ≥54.410), p-value is less than a = 0.05, we reject Ho, and the predictor variables are jointly significant in explaining Earnings. О PF(1,19) ≥60.458), p-value is less than a = 0.05, we accept Hg, and the predictor variables do not jointly explain Earnings. о PF(1,18) ≥54.410), p-value is less than a = 0.05, we accept Hg, and the predictor variables are jointly significant in explaining Earnings. о PF(1,19) ≥ 60.458), p-value is less than α = 0.05, we reject Ho, and the predictor variables jointly do not explain Earnings.
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