I need help understanding this problem please.

Type Sales Price Lot Cost Townhouse 112840 20800 Single Family 136630 25600 Townhouse 148005 24800 Single Family 170100 25300 Townhouse 182016 45125 Townhouse 187490 27100 Single Family 189220 35100 Townhouse 196995 45125 Townhouse 203176 45125 Single Family 205921 39399 Single Family 214305 36600 Townhouse 250900 73500 Single Family 255100 43298 Single Family 268100 43444 Single Family 268600 41199 Single Family 271205 45120 Single Family 277820 44750 Single Family 295090 57100 Single Family 301600 59140 Single Family 307487 45950 Single Family 312998 40868 Single Family 319702 82350 Single Family 324512 62623 Single Family 337474 70499 Single Family 337480 49250 Single Family 338165 54950 Single Family 354217 56319 Single Family 360049 50691 Single Family 432526 57522 Single Family 492920 84222A national homebuilder builds singlefamily homes and condominiumstyle townhouses. The accompanying dataset provides information on the selling price, lot cost. 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 "Townhouse", where it is equal to 1 when Type = \"Townhouse" and 0 otherwise. Determine the coefcients of the regression equation. Sales Price = + { )- Lot Cost + (|:) - Townhouse (Type integers or decimals rounded to two decimal places as needed.) b. What is the predicted sales price for either a singleFamilyI home or a townhouse with a lot cost of $31,900? b.1 The predicted sales price for a singletamin home is $|:|. (Round to the nearest cent as needed.) b.2 The predicted price for a townhouse is 5 (Round to the nearest cent as needed.)