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Fit a multiple regression equation

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Reference no: EM131083789

Suppose systolic blood pressure, birth weight (oz), and age (days) are measured for 16 infants and the data are shown in the following table

ID

Birth weight (oz) ()

Age in days  ()

SBP mmHg (y)

1

135

3

89

2

120

4

90

3

100

3

83

4

105

2

77

5

130

4

92

6

125

5

98

7

125

2

82

8

105

3

85

9

120

5

96

10

90

4

95

11

120

2

80

12

95

3

79

13

120

3

86

14

150

4

97

15

160

3

92

16

125

3

88
  • Draw a scatter plot
  • Fit a multiple regression equation.
  • Calculate the predicted average systolic blood pressure of a baby with birth weight 8 128 oz measured at 3 days of life.
  • Test the hypotheses that and at 5% level of significance.
  • Construct 95% C.I's for and comments on regression.
  • Carry out an analysis of variance and test the significance of the regression using.
  • Compute the coefficient of multiple determinations and multiple correlation coefficients for the above example.
  • Carry out a residual analysis for the adequacy of the model estimated. Does any observation look like it could be influential? In its effect on the regression line?
  • If yes, identify the influential points and reanalyze, excluding the influential observation. What have you noticed?

Reference no: EM131083789

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