Question
The data set contains beef demand data (pounds purchasedper month) from 1985-86. The variables are: Quantity of beef; price of beef purchased in cents per
The data set contains beef demand data (pounds purchasedper month) from 1985-86. The variables are: Quantity of beef; price of beef purchased in cents per pound; Income is consumer income in dollars; Prch is the price of chicken in cents per pound. Below is the regression output;
Regression Statistics | |||||
Multiple R | 0.90 | ||||
R Square | 0.81 | ||||
Standard Error | 3182.960488 | ||||
Observations | 24 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 3 | 695105030.4 | 2.32E+08 | 22.87 | 1.13E-06 |
Residual | 20 | 202624749.4 | 10131237 | ||
Total | 23 | 897729779.8 | |||
Coefficients | Standard Error | t Stat | P-value | ||
Intercept | 166,200 | 49771.53725 | 3.339809 | 0.003264 | |
Prbf | -535.00 | 103.2627479 | -5.18055 | 4.54E-05 | |
Inc | 25.00 | 9.16031234 | 2.370855 | 0.027906 | |
Prch | 300.00 | 137.3790156 | 2.458302 | 0.023205 |
20.Assume the quantity of beef demanded in a month is 200,000 pounds and monthly household income is $2000. Using this information and the estimates in the regression table, what is the estimated income elasticity of demand for beef in that particular month?
Group of answer choices
1.7
0.25
1.070
0.35
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