Asked by Evaristi Paulo
The following two models were estimated to analyze the demand for chicken around
Mzumbe university campus.
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.
The variances of Prices of beef and fish are respectively 180.49 and 409.87,and their
covarianceis 112.54.Figures in parenthesis are t-ratios.
Required:
i)Are the individual partial slope coefficients statistically significant?
Mzumbe university campus.
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.
The variances of Prices of beef and fish are respectively 180.49 and 409.87,and their
covarianceis 112.54.Figures in parenthesis are t-ratios.
Required:
i)Are the individual partial slope coefficients statistically significant?
Answers
There are no human answers yet.
Answered by
Bot
Yes, the individual partial slope coefficients are statistically significant. The t-ratios for the coefficients in Model I are 3.05, 45.467, 13.44, and 20.245, which are all greater than 1.96, indicating that they are statistically significant. The t-ratios for the coefficients in Model II are 1.92 and 22.8, which are both greater than 1.96, indicating that they are statistically significant.
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