[solution] » Giving the selling price of the dependent variable and house size, house age and are independent

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Giving the selling price of the dependent variable and house size, house age and are independent variables please fill in the table and answer the following questions (a-h).  (a = 0.05)

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.9571
R Square	_____
Adjusted R Square	0.8932
Standard Error	6.8940
Observations	_____
ANOVA
	df	SS	MS	F	Significance F
Regression	3	5707.4385	_____	_____	3.27814E-06
Residual	11	_____	47.5270
Total	_____	6230.2360
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	-16.0580	19.0710	-0.8420	0.4177	-58.0331	25.9171	_____	25.9171
House Size	4.1462	0.7512	5.5195	0.0002	2.4928	5.7995	2.4928	_____
House Age	-0.2361	0.8812	-0.2679	0.7937	-2.1756	1.7035	_____	1.7035
Area	4.8309	0.9011	5.3612	0.0002	2.8476	6.8141	2.8476	_____

e) What is the variance of the slope coefficient of House size?
f) Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.
g) Conduct a test of hypothesis for each of the independent variables. Which one you would eliminate and why?
h) Interpret and show that you understand this computer printout. (Significant weight will be given to this question)

The regression equation is written using the coefficient values from the table as Number of observations is equal to the total number of records in the data

 

c) What percent of the variation is...

 

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Oct 14, 2020

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