1. Run the best subsets procedure. Identify the best model to use and why? 2. Run the regression procedure using the model you chose in #2 a. Identify the regression equation. b. Interpret all...


1. Run the best subsets procedure. Identify the best model to use and why?


2. Run the regression procedure using the model you chose in #2
a. Identify the regression equation.
b. Interpret all coefficients
c. Identify and interpret the R-Square
For parts d-e, use the p-value value approach for each test (use .05 for

significance level)
d. Perform an F Test for overall significance of the model
e. Perform a T test for slope for the age variable
f. Find a 95% confidence interval for the slope of the SqFeet variable
g. Create a prediction, CI, and PI for 1 new set of x values (any valid

numbers you want), and interpret each.
h. Run the residual plots and indicate if they show any problems with

the model.









































































































































































































































































































































































































































































































































































































































































































































































































































































































































PriceSqFeetAgeBedroomsBathroomsGarage spacesMtn View
1100001000283111
1335001400233111
1125001248583411
1417501106122111
1952502112782621
1322501078332111
136000952132321
162750110012121
1485001040173121
1235001416274211
1422501150253221
1455001220173221
1552501464283221
1507501228153221
150900113213421
144000113213421
151900113213421
1615002100282321
155750127014321
1572501362233421
152900112013321
145250102513521
1647501290193321
1525001260223421
150750108513421
1447501312413421
1482501489343411
1745001540243421
2155002112124421
155750135114521
167900135114421
148500119353421
152500120014421
167200125613421
159500105813421
1536001210133421
168000138013421
166100130173421
165200137583421
174900143783421
160250133013421
165100136113421
1705001594163321
155900118623421
167700133613421
165400132553421
163500135293421
178500135473221
164000131813421
172750141593421
149000133723421
1760002028254421
2055001820213421
216750218214431
1812502600375311
229500193013431
207500183423431
206250193313431
265400217213431
219250219343421
272100201814541
229600231014531
261000225614431
2746002710204431
822001450403320
933001728614120
1114001976374410
90250160873110
725001532413220
70600128853420
65950132093420
901001416412420
1102002022364310
1225001550423220
939001568403320
848001968403310
1036001536223420
1210001872394420
1021502200314410
1296001763293420
829502073713320
1117001563523130
1271502080285420
1393001968473320
111900134093430
964001730123420
106250216824410
1261002320224410
121950175083420
1509502000393420
1421002073443220
1732002000203320
1578501900453630
1647002400384420
1301003000434510
123900217215630
1805002515512420
1699002500494630
2130002345445440
Jun 11, 2022
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