- A Researcher Conducts A Multiple Regression With Y As The Dependent Variable And X1 X2 X3 And X4 As Explanatory Variab 1 (62.26 KiB) Viewed 52 times
A researcher conducts a multiple regression with Y as the dependent variable and X1, X2, X3 and X4 as explanatory variab
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A researcher conducts a multiple regression with Y as the dependent variable and X1, X2, X3 and X4 as explanatory variab
A researcher conducts a multiple regression with Y as the dependent variable and X1, X2, X3 and X4 as explanatory variables. Using the regression output below, fully describe this model and discuss important parts of the output. What is the predicted value of Y if X1 = 3, X2 = 15, X3 = 7 and X4 = 0.003? SUMMARY OUTPUT Regression Statistics Multiple R 0.7236 R Square 0.5236 Adjusted R Square 0.5159 Standard Emor 5.3928 Observations 252 ANOVA F 67.8749 Significance F 1. 10662E-38 Regression Residual Total MS 1973.9392 29.0820 4 247 251 SS 7895.7567 7183 2599 15079,0166 Intercept X1 Coefficients Standud Enor 17.7278 7.9594 1.5583 0.2750 1.8376 0.1997 5.5100 0.9955 3.1079 1887.8435 Sa P value 22273 0.026830873 5.6662 4.05266E-08 9.1999 1.55861E-17 5.5348 7.94036E-08 -0.0016 0.998687788 Lower 95% 2.0508 1.0166 1.4442 -7.4708 -3721.4324 Upper 95% 33.4019 20999 22310 3.5492 3715.2166 X3 X4
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