The data set contains beef demand data (pounds purchased per 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 17 What is the value of the regression estimated slope coefficient associated with the price of beef

Question: The data set contains beef demand data (pounds purchased per month) from 1985-86. The variables are: Quantity of beef; price of beef purchased in cents

The data set contains beef demand data (pounds purchased per 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

17. What is the value of the regression estimated slope coefficient associated with the price of beef?

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