Solution :-
Given data :
Consider the following equation for U.S. per capita consumption of beef:
N = 28
DW = 0.94
(a) Develop and test your own hypotheses with respect to the individual estimated slope coefficients.
Here consider the critical t-value. i.e,
Here,
and df = N - p ( p= number of regression coefficient ( including constant ) = 5 )
df = 28 - 5
df = 23
Then,
Here the critical t-value. i.e, is less than the absolute value( neglect -ve symbol ) of the t of each predictor, so each of the predictor , , and is significant in the given multiple linear regression.
(c) What econometric problems appear to be present in this equation? Support your answer.
Since the and , have negative sign so it has negative effect on the ward or reaction variable .
Also, and have positive sign so it has positive effect on the ward or reaction variable .
Note :-
As HOMEWORKLIB RULES rule, i have little bit doubt about the 'bit-b'. so i didn't answered the 'bit-b'. If you want that bit also please upload that bit as another question. please don't give thumbs down.
Thank you.
4. Question 4: Consider the following equation for U.S. per capita consumption of beef: CB--330.3+ 49.1InY,...
Regression model>BEEF_CONSt - Bl B2INCOMEt+B3BEEF PRICEt B4PORK PRICEt+ et BEEF CONSIconsumption of beef per capita in year t (kg), INCOMEt real income per capita in year t (thousands of dollars), BEEF PRICEt average real price of beef per kilogram in year t ($) PORK PRICEt= average real price of pork per kilogram in year t (S) Bk's regression cocfficients, and et is the random error term, which follows N(0, o2) Gretl Output for Section 2 Sunmary Stati stics Mean Median...