Considering the following print out of
regression analysis using MS-Excel, to estimate the demand for chicken
equation, where Q is the quantity demanded, P is the price, I is consumer
income, and Po is the price of some other good, answer the following questions:
1.
Write
the estimated demand equation.
2.
Check
the signs of the independent variables,
show if any of them is not acceptable on theoretical bases.
3.
Explain
the meaning of R2 value.
4.
What
do you understand from “Significance F”, if the acceptable significance level is 5%.
5.
What
do you understand from “P-Values”, if the acceptable significance level is 5%.
1.
Q = 65.22 – 0.12P + 0.89I + 4.20Po
2.
All coefficients have the expected signs, assuming that the other
good is a substitute, and the good is a normal one.
3.
R2 value means that 67% of the variations in Q are
explained by the variations in P, I, and Po, while 33% of the
variations in Q are due to other variables not included in the model.
4.
Although R square is 67%, but the probability of error in the
estimates is 6.8% which exceeds the acceptable level, so the researcher should
not reject the null hypothesis that the three independent variables have no
effect on Q, or do not explain the variations in Q.
5.
Both P and I have significant effect on Q, while Po has
no significant effect on Q. Or you may say: for both P and I the null
hypothesis should be rejected, while for Po the null hypothesis should not be
rejected.
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