2. Following is the summary of Eviews output for a multiple linear regression model where Yannual household expenses (RM thousand) X1 = annual income (RM thousand) X2= annual wealth (RM thousand) X3 = saving interest rate (%) Dependent Variable: LOG(Y) Sample: 1970 2019 Included observations: 50 Variable с LOG(X1) LOG(X2) X3 Coefficient -4.67711 8.04873 2.01270 -0.02689 Adjusted R-squared S.E. of regression Sum squared resid Std. Error 2.41907 3.79049 1.24934 0.01361 0.789533 Durbin-Watson stat 0.011934 Heteroskedasticity Test White 0.007121 Prob. Chi-Square (6) (a) Explain the meaning of the partial slope coefficient for LOG(X1) and X3. 1.589219 10.16032 0.0708 (b) At 10% significance level, do annual income and annual wealth, individually affect the annual household expenses? (c) Calculate the coefficient of determination and explain its meaning.

ENGR.ECONOMIC ANALYSIS
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Chapter1: Making Economics Decisions
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2. Following is the summary of Eviews output for a multiple linear regression model where
Y = annual household expenses (RM thousand)
X1 = annual income (RM thousand)
X2 = annual wealth (RM thousand)
X3 = saving interest rate (%)
Dependent Variable: LOG(Y)
Sample: 1970 2019
Included observations: 50
Variable
с
LOG(X1)
LOG(X2)
X3
Coefficient
-4.67711
8.04873
2.01270
-0.02689
Std. Error
2.41907
3.79049
1.24934
0.01361
0.789533 Durbin-Watson stat
Adjusted R-squared
S.E. of regression
Sum squared resid
0.011934 Heteroskedasticity Test White
0.007121 Prob. Chi-Square (6)
(a) Explain the meaning of the partial slope coefficient for LOG(X1) and X3.
1.589219
10.16032
0.0708
(b) At 10% significance level, do annual income and annual wealth, individually affect the
annual household expenses?
(c) Calculate the coefficient of determination and explain its meaning.
Transcribed Image Text:2. Following is the summary of Eviews output for a multiple linear regression model where Y = annual household expenses (RM thousand) X1 = annual income (RM thousand) X2 = annual wealth (RM thousand) X3 = saving interest rate (%) Dependent Variable: LOG(Y) Sample: 1970 2019 Included observations: 50 Variable с LOG(X1) LOG(X2) X3 Coefficient -4.67711 8.04873 2.01270 -0.02689 Std. Error 2.41907 3.79049 1.24934 0.01361 0.789533 Durbin-Watson stat Adjusted R-squared S.E. of regression Sum squared resid 0.011934 Heteroskedasticity Test White 0.007121 Prob. Chi-Square (6) (a) Explain the meaning of the partial slope coefficient for LOG(X1) and X3. 1.589219 10.16032 0.0708 (b) At 10% significance level, do annual income and annual wealth, individually affect the annual household expenses? (c) Calculate the coefficient of determination and explain its meaning.
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