Let the variable Y indicate the quantity demanded of a commodity Q (in kg), the variable 1 X indicate the per unit price of that commodity (in $), and the variable 2 X indicate per capita disposable income (in $). For sample observation the equation is given by

Total Sum of Squares (TSS) = 1195.9287; Residual Sum of Squares (ESS) = 106.6517 Answer the following questions:
(i) Obtain the regression equation and comment on your estimated results.
(ii) Obtain variance-covariance matrix of

(iii) Do you think the hypothesis 0 j H : ???? ???? 0, ( j = 1, 2) is statistically significant at a 5% level of significance? Why?
(iv) Calculate R2 and compare it with Adjusted(R2 ).
(v) Calculate the price and income elasticities of demand.

Y=B+X+X+e = y=x+x+e; where y = Y-, x =X-X, and x = X -- Given that, = = - 9124, = 11039. . - 23806.5, i=1 XX= 23 i=1 . = 2719.04 ** = 140788.25 and X'Y= =14078825 = 8398168.67 i=1 i=1 23 = 1514.67 i=1 23 = 94923.39 i=1