Regression Statistics Multiple R 0.9101558 R Square 0.8283837 Adjusted R Square 0.7971807 Standard Error 1.6929902 Observations 14 ANOVA df SS MS F Significance F Regression 2 152.1859 76.09296 26.54823 6.167E-05 Residual 11 31.52837 2.866216 Total 13 183.7143 Coefficients t Stat P- Lower 95% Upper Standard value 95% Error Intercept 87.882367 3.069241 28.63326 1.11E-11 81.1270127 94.63772 X1 0.3798766 0.090131 4.214702 0.001449 0.18149895 0.578254 X2 0.2216051 0.038442 5.76466 0.000126 0.13699483 0.306215
Regression Statistics Multiple R 0.9101558 R Square 0.8283837 Adjusted R Square 0.7971807 Standard Error 1.6929902 Observations 14 ANOVA df SS MS F Significance F Regression 2 152.1859 76.09296 26.54823 6.167E-05 Residual 11 31.52837 2.866216 Total 13 183.7143 Coefficients t Stat P- Lower 95% Upper Standard value 95% Error Intercept 87.882367 3.069241 28.63326 1.11E-11 81.1270127 94.63772 X1 0.3798766 0.090131 4.214702 0.001449 0.18149895 0.578254 X2 0.2216051 0.038442 5.76466 0.000126 0.13699483 0.306215
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter2: Equations And Inequalities
Section2.1: Equations
Problem 77E
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Using p-value for X1, the coefficient of X1 is significantly different from 0. Use α = .05.
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