1. State the multiple linear regression model where the height of Yellow Meranti is treated as the dependent variable while the diameter and bark thickness of the tree are the explanatory variables.

Mathematics For Machine Technology
8th Edition
ISBN:9781337798310
Author:Peterson, John.
Publisher:Peterson, John.
Chapter29: Tolerance, Clearance, And Interference
Section: Chapter Questions
Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...
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Height

Diameter at breast height

Bark thickness

134

24

1.2

213

30

3.1

183

22

2.2

90

12

1.3

147

28

2.2

110

33

1.5

190

56

2

89

12

1.2

165

29

2.8

124

13

1.7

92

14

1.5

180

56

2.5

224

47

2.2

191

33

2.8

175

20

3.3

253

46

2.9

246

50

4.7

237

57

4.4

253

43

2.4

210

37

3.9

233

10

1.5

122

22

1.1

194

27

2.8

167

20

2

82

11

1.2

134

25

2

100

30

1.4

173

51

1.8

81

11

1.1

150

26

2.5

113

12

1.5

84

13

1.4

164

51

2.3

203

43

2

174

30

2.5

159

18

3

230

42

2.6

224

45

4.3

215

52

4

230

39

2.2

 

Measuring the height of a Yellow Meranti is very difficult because these trees grow to heights over 300 feet. In 2016, a group of Yellow Meranti in Sabah’s Danum Valley was announced as the tallest tropical trees in the world. People familiar with these trees understand that the height of a Yellow Meranti is related to other characteristics of the tree, including the diameter of the tree at the breast height of a person (in inches) and the thickness of the bark of the tree (in inches). The file YellowMeranti contains the height, diameter at breast height of a person, and bark thickness for a sample of 40 Yellow Meranti trees.

1. State the multiple linear regression model where the height of Yellow Meranti is treated as the dependent variable while the diameter and bark thickness of the tree are the explanatory variables.

 

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