Explain F-statistics and R-values.

 

SUMMARY OUTPUT
Regression Statistics		Price Demand Elasticity
Multiple R	0.80232596		Porter House	68.40
R Square	0.64372695		Own Price	-2.481
Adjusted R Square	0.6152251		Cross Elasticity	1.695
Standard Error	21.7432436		Income Elasticity	1.21418679
Observations	55
ANOVA
	df	SS	MS	F	Significance F
Regression	4	42710.768	10677.69199	22.5854489	1.06512E-10
Residual	50	23638.432	472.7686405
Total	54	66349.2
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	51.1275538	250.828002	0.203835112	0	-452.6753144	554.930422	-452.675314	554.930422
PHP	-25.5354989	5.15455494	-4.953967735	8.7123E-06	-35.88872718	-15.1822706	-35.8887272	-15.1822706
ChickP	68.3772029	47.9744802	1.425282828	0.16028843	-27.98237659	164.736782	-27.9823766	164.736782
DiscInc	0.00897565	0.02403096	0.373503784	0.71035255	-0.039291941	0.05724325	-0.03929194	0.05724325
Trend	-0.42865844	0.75668588	-0.566494569	0.57359182	-1.948506757	1.09118988	-1.94850676	1.09118988