Question

Ches A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price in $), its
c. Predict the Price of a 2,041 square foot home with two bedrooms and one bathrooms (Round coefficient estimates to at least
ABC Baths 1.0 1.5 2.0 Price Soft Beds 2 672000 2214 5 3 569077 1731 3 4 8318332800 5 5 814273 2600 6 685000 2716 7 645000 252
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Answer #1

using excel>data >data analysis>Regression

we have

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.818008
R Square 0.669136
Adjusted R Square 0.638118
Standard Error 89668.89
Observations 36
ANOVA
df SS MS F Significance F
Regression 3 5.2E+11 1.73E+11 21.5722 7.9E-08
Residual 32 2.57E+11 8.04E+09
Total 35 7.78E+11
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 80619.83 64052.18 1.258659 0.217259 -49850.2 211089.9
Sqft 117.4377 38.69829 3.034702 0.004753 38.61192 196.2636
Beds 41233.6 21480.65 1.919569 0.063866 -2521.06 84988.25
Baths 45886.41 26603.14 1.72485 0.094202 -8302.41 100075.2

a )

Intercept 80619.83
Sqft 117.4377
Beds 41233.6
Baths 45886.41

b 1 ) interpretation

For every additional sqft , the predicted price of a home increases by 117.45 holding number of bedrooms and bathrooms constant '

c) for sqft = 2.041 ., bedrooms = 2, bathrooms = 1

predicted price = 80619.83+117.4377*2.041+41233.6*2+45886.41*1 = 209213.1

predicted price = $209213

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