Regression models to forecast selling price

Reference no: EM1320376

Q1) Following data give square footage, selling price, number of bedrooms and age of houses that have sold in neighbourhood in last 6 months. Develop 3 regression models to forecast selling price based upon each of other factors individually. Which of these is best?

Q2) Sample of twenty automobiles was taken, and miles per gallon (MPG), horsepower, and total weight were recorded. Create linear regression model to predict MPG using horsepower as the only indepent variable. Create another model with weight as independent variable. Which of these two models is better? Describe.

MPG	Horsepower	weight
44	67	1844
44	50	1998
40	62	1752
37	69	1980
37	66	1797
34	63	2199
35	90	2404
32	99	2611
30	63	3236
28	91	2606
26	94	2580
26	88	2507
22	97	2434
20	114	3248
21	102	2812
18	114	3382
18	142	3197
16	153	4380
16	139	4036

Reference no: EM1320376

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