Consider the following multiple regression results for estimation of demand for coffee:       Dc= 6.27+0.48DI-1.23Pc-3.5Pt+0.19Pm+0.07Ae.        Where, Dc=Demand for coffee (in ‘000 dollars)                       DI=Disposable income                       Pc=Price index of coffee                       Pt=Price index of tea                      Pm=Price index of milk                      Ae=Advertising expenditure (in ‘000 dollars)                 Adjusted R square=0.90     Comment on the results including signs and coefficients of the multiple regression..

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Q: For a particular regression analysis, SST= 126.99 and SSR= 110.19 (round to four decimal places as…

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