Q. The demand of jewellery (Y) in India is assumed to be influenced by the following variables:X2: Per Capita Income in IndiaX3: Stock market Index X4: Retail price of GoldX5: Real Disposable IncomeX6: Interest rates on DepositsThe regression model is applied and the SPSS output is given below:

Table: Regression Model SummaryModelRR SquareAdjusted R SquareStd. Error of the EstimateDurbin-Watson

1.972a.944.9281.97961.101

a. Predictors: (Constant), X6, X3, X2, X4, X5

b. Dependent Variable: Y

Table: ANOVA

ModelSum of SquaresdfMean SquareFSig.

1Regression1129.3065225.86157.633.000b

Residual66.622173.919

Total1195.92922

a. Dependent Variable: Y

b. Predictors: (Constant), X6, X3, X2, X4, X5

Table: Regression Coefficients

ModelUnstandardized CoefficientsStandardized CoefficientstSig.Collinearity Statistics

BStd. ErrorBetaToleranceVIF

1(Constant)38.5974.2149.158.000

X2.005.005.410.985.338.01952.761

X3-.652.174-.983-3.738.002.04721.103

X4.243.0901.1622.716.015.01855.847

X5.104.071.7291.477.158.01374.303

X6-.071.098-.384-.723.480.01286.131

a. Dependent Variable: Y

Fig: Scatter plot of unstandardized residuals

Answer the following:a. Explain the assumptions of regression model.b. Explain the Gauss Markov Theorem.c. Write the regression equation.d. Define the regression coefficients (intercept and slope coefficients).e. What is the difference between unstandardized and standardized beta.f. Which variable has the highest impact on the demand of Jewelry in India?g. Identify the problems in the regression results (w.r.t multicollinearity, autocorrelation and heteroscedasticity).h. What is the significance of T test and F test in regression analysis?i. Define the terms: R, R Square and Adjusted R Square.j. Identify the multivariate outliers.