Let me know the Hypothesis test explanation is correct.

1. Is there a significant relationship between the Price Per Square Foot of a house (a) The age of the house (b) the number of bedrooms (c) the size of the garage and (d) the Size of the House?

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.591a	.349	.324	7.713947
a. Predictors: (Constant), How Many Cars Can Fit in the Garrage, Number of Bedrooms, Age of House in Years, Living Space in Square Feet

Coefficients
	Unstandardized Coefficients		Z	Sig.
B	Std. Error	Beta
(Constant)	53.789	6.090		8.833	.000
Living Space in Square Feet	-.015	.002	-.697	-7.170	.000
Age of House in Years	-.625	.181	-.310	-3.456	.001
Number of Bedrooms	4.120	1.215	.300	3.391	.001
How Many Cars Can Fit in the Garage	10.339	2.489	.367	4.154	.000
a. Dependent Variable: Price per Square Foot

Price = 53.789 - 0.015 (Size) - .625 (Age) + 4.120(Bed) + 10.399(Cars) +

(8.833) (-7.170) (-3.456) (3.391) (4.154)

R2 = .349 (34.9%)=> Garage34.9% of Changes in the Price of houses is explained by changes in the variables in the equation

Hypothesis Tests.

H₀: = 0=> Size of Living Space does not significantly affect Price of House

H₀: 0=> Size of Living Space significantly affects Price of House

Level of Significance (1%) .015=> Z* = 0.00

Decision Rule: If Z Z* == Reject the Null Hypothesis

Conclusion=> Since Z (8.833) > Z* (0.00) I reject the H₀ and conclude that Size of House significantly affects its Price.