Regression models to forecast selling price

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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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