Based on the given multiple regression output tables below, answer the following questions:

(a) State the multiple regression model for this analysis.

(b) Explain the influence of each independent variable towards dependent variable, y for this model.

Model Summary

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin- Watson

1 .887 .787 .776 0.29748 2.156

ANOVA

Model

Sum of Squares df Mean Square F Sig. 1 Regression 18.347 3 6.116 69.107 .000 Residual 4.956 56 .088 Total 23.303 59

Coefficients

Model

Unstandardized Coefficients

Standardized Coefficients

B Std. Error Beta t Sig. 1 (Constant) -1.003 .315 -3.187 .002 X Variable 1 .325 .061 .350 5.307 .000 X Variable 2 .485 .069 .460 7.061 .000 X Variable 3 .457 .070 .428 6.556 .000

(c) Explain the meaning of R-square value for this model.

(d) Interpret the significant level of F-test for this model. (e) Interpret the significant level of hypothesis for three independent variables in this model. (f) Calculate the value of dependent value, y given that X1 = 3.5, X2 = 2.9 and X3 = 4.1.