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Birth Length (in) of Newborn Infants Height of Mother (in) Height of Father (in) Birth Weight of Nearest Sibling (lb) 1 22.0 61 70 6.5

Birth Length (in) of Newborn Infants

Height of Mother (in)

Height of Father (in)

Birth Weight of Nearest Sibling (lb)

1

22.0

61

70

6.5

2

23.5

64

72

6.1

3

24.0

64

74

7.3

4

20.4

61

60

7.4

5

18.7

59

60

5.9

6

22.1

64

62

6.7

7

23.0

62

73

6.8

8

24.3

64

76

7.2

9

21.3

62

71

7.1

10

22.1

65

72

6.1

11

20.3

63

71

6

12

24.2

64

76

7.4

13

21.9

65

72

6.2

14

23.4

62

78

6.7

15

26.1

64

77

7.1

16

22.5

63

72

6.8

17

21.4

63

71

6.2

18

22.6

63

69

6.7

19

21.9

63

68

6.2

20

19.6

60

61

5.9

21

19.6

61

64

5.8

22

22.5

64

66

6.2

23

24.1

66

73

6.6

24

24.1

66

72

7.1

25

22.8

63

68

7.1

Scenario: As a researcher studying how inherited traits influence newborn babies. You have gathered genetic data on newborns’, parents and sibling as shown in the table above.

Scenario 1: Perform a simple linear regression analysis to predict a newborn’s birth length (in inches) using the father’s height as a predictor variable. Conduct your analysis using a 95% level of confidence.

Question 1: Does the regression model confirm a correlation between the dependent variable and the independent variable? How do you know? 

Question 2: Is the statistical significance of the model as a whole acceptable for a 95% level of confidence? How do you know? 

Question 3: Is the statistical significance of the linear relationship between the dependent and independent variable acceptable for a 95% level of confidence? How do you know? 

Question 4: What is the regression equation for the model? 

Question 5: What is the predicted birth length of a newborn whose father is 75.3 inches tall? 


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Scenario 1 U se MegaStat to perform regression analysis as follows Regression Analysis 0618 r ... blur-text-image

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