Multiple Regression for Price	Multiple R	R-Square	Adjusted R-square	Std. Err. of Estimate	Rows Ignored	Outliers
Summary
	0.9113	0.8304	0.8205	53965.50872	0	0
	Degrees of Freedom	Sum of Squares	Mean of Squares	F	p-Value
ANOVA Table
Explained	7	1.71095E+12	2.44422E+11	83.92813198	< 0.0001
Unexplained	120	3.49473E+11	2912276131
	Coefficient	Standard Error	t-Value	p-Value	Confidence Interval 95%
Regression Table	Lower	Upper
Constant	-1604.041946	47963.30572	-0.033443107	0.9734	-96568.04927	93359.96538
SqFt	271.5919875	30.6792227	8.852635875	< 0.0001	210.8492617	332.3347133
Bedrooms	23589.40397	8471.084619	2.784697006	0.0062	6817.245973	40361.56198
Bathrooms	39205.00555	11474.26469	3.416777164	0.0009	16486.76002	61923.25108
Offers	-42948.45394	5861.934546	-7.326668971	< 0.0001	-54554.67638	-31342.23151
new brick	77565.43703	10521.65639	7.371979673	< 0.0001	56733.28963	98397.58442
Neighborhood (W)	-8105.238284	13122.45838	-0.617661573	0.5380	-34086.79261	17876.31605
Neighborhood (E)	75035.79121	16823.59788	4.460151256	< 0.0001	41726.23824	108345.3442

2. According to Model 1 estimated above, by how much does the average price in the East differs from the average price of a similar house in the North?

3. According to Model 1, by how much does the average price in the West differs from the average price of a similar house in the East?

4. Define the "brick premium" as the average amount by which the price of a brick house exceeds the price of a similar house made without brick.

According to Model 1, what is the brick premium in Springfield?