A researcher wishes to build an appropriate multiple linear model for predicting response variable Y using three predictor variables X1, X2, and X3. He has just made sixteen observations and analysed his data using SPSS. Part of his analysis outputs is as given in the table below. Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta 1 (Constant) 33.964 13.061 X1 2.960 1.227 .519 X2 .702 .946 .140 X3 -1.769 .702 -.343 2.1 Interpret the unstandardized coefficient of X3. 2.2 Construct the ANOVA table for his model given that SSR = 8417.884 and that MSE = 6.843. %3D 2.3 Compute the adjusted R square for this model and interpret it.

A researcher wishes to build an appropriate multiple linear model for predicting response variable Y using three predictor variables X1, X2, and X3. He has just made sixteen observations and analysed his data using SPSS. Part of his analysis outputs is as given in the table below. Unstandardized Standardized Coefficients Coefficients Model B Std. Error Beta 1 (Constant) 33.964 13.061 X1 2.960 1.227 .519 X2 .702 .946 .140 X3 -1.769 .702 -.343 2.1 Interpret the unstandardized coefficient of X3. 2.2 Construct the ANOVA table for his model given that SSR = 8417.884 and that MSE = 6.843. %3D 2.3 Compute the adjusted R square for this model and interpret it.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter3: Functions And Graphs

Section3.3: Lines

Problem 21E

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