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# Hello, I am confused on this one. Please help. The dummy variable part sound wield. />DATA Attachment 1 Attachment 2 ATTACHMENT PREVIEW Download attachment Q-6 .png A national homebuilder builds single—family homes and mndominium—styte townhouws. The accompanying dataset provides information on the selling price, lot costI and type of home for closings during one month. Complete parts a through c. a Click the icon to View the house sales data. a. Develop a multiple regression model for sales price as a function of lot cost and type of home without any interaction term. Create a dummy variable named &quot;Townhouse&quot;, where it is equal to 1 when Type = “Townhouse&quot; and 0 otherwise Determine the tun-efﬁcients of the regression equation. Sales Price = |+{ 3- Lot Cost+( )- Townhouse (Type integers or decimals round ed to two decimal places as needed} b. What is the predicted sales price for either a single—family home or a townhouse with a lot cost of \$31,605? h.1 The predicted wles price for a single—family home is \$|:|. (Round to the nearest cent as needed.) b.2 The predicted price fora townhouse is 5D. (Round to the nearest cent as needed.) ATTACHMENT PREVIEW Download attachment Screen Shot 2019-09-23 at 11.16.08 PM.png Type Sales Price Lot Cost Townhouse 114740 21700 Single Family 138530 26550 Townhouse 149905 25550 Single Family 172000 26200 Townhouse 183916 46025 Townhouse 189390 28000 Single Family 191120 36000 Townhouse 198898 46025 Townhouse 205076 46025 Single Family 207821 40299 Single Family 216205 37500 Townhouse 252800 74400 Single Family 257000 44198 Single Family 270000 44344 Single Family 270500 42099 Single Family 273105 46000 Single Family 279720 45650 Single Family 066967 58000 Single Family 303500 60000 Single Family 309487 46850 Single Family 314898 41768 Single Family 321602 83300 Single Family 326412 63523 Single Family 339374 71449 Single Family 339380 50150 Single Family 340065 55850 Single Family 356117 57219 Single Family 361949 51591 Single Family 434426 58422 Single Family 494820 85122

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Regression Analysis
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R2 0.733
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n 30
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R 0.856
k 2
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Std. Error 46814.526
Dep. Var. Sales Price
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53 ANOVA table
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Source
SS
MS
F
-value
55...

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