Regression Statistics
Multiple R	0.53
R Square	0.28
Adjusted R Square	0.28
Standard Error	191.66
Observations	98
ANOVA
	df	SS	MS	F	Significance F
Regression	1	1403819.33	1403819.33	38.22	1.54E-08
Residual	96	3526382.81	36733.15
Total	97	4930202.14
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	244.62	54.55	4.48	2.03E-05	136.34	352.90	136.34	352.90
lot	551.73	89.25	6.18	1.54E-08	374.58	728.89	374.58	728.89

1. According to the coefficients from this regression, what is the equation you would use to predict the price of a home?
2. How much of the variation in home price is explained by the variation in lot size, and which value from the output did you use to determine that?
3. If a house lot size decreases by 0.5 acres, what will be the change in home price according to this regression?