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Thefollowingtwomodelswereestimatedtoanalyzethedemandforchickenaround

Mzumbe universitycampus.
I.Qc = 43.310 –15.298Pc –9.86Pb + 39.8Pf + 1.87Y.
(3.05)(45.467)(13.44)(20.245)(0.154)
R-square=0.98
II.Qc=-17.288+61.138Pc+2.046Y.
(1.92) (22.8) (0.077)
R-square=0.99
Where Qc = quantity of chicken demanded in 2012.
Pc=price ofchicken.
Pb = price of beef.
Pf = price of fish.
Y=income.
ThevariancesofPricesofbeefandfisharerespectively180.49and409.87,andtheir
covarianceis 112.54.Figuresinparenthesis are t-ratios.
Required:
i)Aretheindividualpartialslopecoefficientsstatisticallysignificant?

Yes, the individual partial slope coefficients are statistically significant. The t-ratios for the coefficients of Pc, Pb, and Pf are all greater than 1.92, indicating that they are statistically significant. The t-ratio for the coefficient of Y is also greater than 1.92, indicating that it is statistically significant as well.