Exercise (please attempt) A researcher wishes to build an appropriate multiple linear model for predicting response variable Y using three predictor variables X1, X2, and Xg. 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 Coefficients Standardized Coefficients Model B Std. Error Beta (Constant) 33.964 13.061 XI 2.960 1.227 .519 X2 702 .946 .140 X3 -1.769 .702 -.343 2.1 Interpret the unstandardized coefficient of Xg. 2.2 Construct the ANOVA table for his model given that SSR = 8417.884 and that MSE = 6.843. 2.3 Compute the adjusted R square for this model and interpret it.

Exercise (please attempt) A researcher wishes to build an appropriate multiple linear model for predicting response variable Y using three predictor variables X1, X2, and Xg. 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 Coefficients Standardized Coefficients Model B Std. Error Beta (Constant) 33.964 13.061 XI 2.960 1.227 .519 X2 702 .946 .140 X3 -1.769 .702 -.343 2.1 Interpret the unstandardized coefficient of Xg. 2.2 Construct the ANOVA table for his model given that SSR = 8417.884 and that MSE = 6.843. 2.3 Compute the adjusted R square for this model and interpret it.

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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Part C