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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