Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
9th Edition
ISBN: 9781319013387
Author: David S. Moore, George P. McCabe, Bruce A. Craig
Publisher: W. H. Freeman
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Chapter 10, Problem 48E

(a)

To determine

To find: The variables IBI and area using numerical method.

(a)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The obtained result can be shown in tabular form as follows:

Variable

Mean

Standard deviation

Area

28.29

17.71

IBI

65.94

18.28

Explanation of Solution

Calculation: Calculate the average and standard deviation of IBI and area using Minitab as follows:

Step 1: Enter the data in Minitab.

Step 2: Click on Stat --> Basic statistics --> Display descriptive statistics.

Step 3: Double click on “Area” and “IBI” to move it to variables column.

Step 4: Click on “Statistics” and check the box for mean and standard deviation.

Step 5: Click “OK” twice to obtain the result.

Results are obtained as

Variable

Mean

Standard deviation

Area

28.29

17.71

IBI

65.94

18.28

To determine

To find: The variables IBI and area using graphical method.

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The graph of “Area” is slightly right skewed and the graph of “IBI” is left skewed.

Explanation of Solution

Graph: Construct the histograms to check the skewness using Minitab as follows:

Step 1: Go to Graphs > Histogram > Simple histogram.

Step 2: Double click on “Area” and “IBI” to move it to variables column.

Step 3: Click “OK” to obtain the result.

The graph is obtained as

Introduction to the Practice of Statistics, Chapter 10, Problem 48E , additional homework tip  1

Interpretation: The graph of area is slightly right skewed and the graph of IBI is left skewed.

(b)

To determine

To graph: A scatterplot.

(b)

Expert Solution
Check Mark

Explanation of Solution

Graph: Construct a scatter plot as follows:

Step 1: Enter the data in Minitab.

Step 2: Click on Graph --> Scatterplot. Select scatterplot with regression.

Step 3: Double click on “IBI” to move it Y variable and “Area” to move it to X variable column.

Step 4: Click “OK” twice to obtain the graph.

The scatter plot is obtained as

Introduction to the Practice of Statistics, Chapter 10, Problem 48E , additional homework tip  2

Interpretation: The graph shows weak linear relationship between IBI and Area with no unusual activity.

(c)

To determine

To explain: The statistical model for simple linear regression.

(c)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The model is IBI(y^)=β0+β1Area(x)+ε_.

Explanation of Solution

The statistical model for the provided problem can be shown as follows:

IBI(y^)=β0+β1Area(x)+ε

where

IBI is the response varibaleβ0 is the inetrceptβ1 is the slopeArea is the explanatory variableε is the error term

(d)

To determine

To explain: The null and alternate hypotheses.

(d)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The null and alternative hypotheses are

H0:β1=0H1:β10

Explanation of Solution

Consider the null and alternate hypotheses as follows:

H0:(There is no significant relationshipbetween IBI and Area)H1:(There is a significant relationshipbetween IBI and Area)

So, the null and alternative hypotheses can be stated as

H0:β1=0H1:β10

(e)

To determine

To test: The least square regression analysis.

(e)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The obtained output represents that the P-value is less than 0.05. So there is enough evidence for the linearity in the regression line.

Explanation of Solution

Calculation: Obtain the regression line using Minitab as follows:

Step 1: Enter the data in Minitab.

Step 2: Click on Stat --> Regression --> Regression.

Step 3: Double click on “IBI” to move it response column and “Area” to move it to predictor column.

Step 4: Click “OK” to obtain the result.

The results are obtained.

Conclusion: From the obtained output, the value of test statistic is 3.42 and the P-value is 0.001. Since the P-value is less than the significance level 0.05, it can be concluded that there is enough evidence for the linearity in the regression line.

(f)

To determine

To find: The residuals.

(f)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The residuals are as follows:

Area

IBI

Residuals

21

47

–15.5862

34

76

7.4318

6

33

–22.6839

47

78

3.4497

10

62

4.4755

49

78

2.5294

23

33

–30.5065

32

64

–3.6479

12

83

24.5552

16

67

6.7146

29

61

–5.2675

49

85

9.5294

28

46

–19.8073

8

53

–3.6042

57

55

–24.1518

9

71

13.9356

31

59

–8.1878

10

41

–16.5245

21

82

19.4138

26

56

–8.8870

31

39

–28.1878

52

89

12.1490

21

32

–30.5862

8

43

–13.6042

18

29

–32.2058

5

55

–0.2237

18

81

19.7942

26

82

17.1130

27

82

16.6529

26

85

20.1130

32

59

–8.6479

2

74

20.1567

59

80

–0.0721

58

88

8.3880

19

29

–32.6659

14

58

–1.3651

16

71

10.7146

9

60

2.9356

23

86

22.4935

28

91

25.1927

34

72

3.4318

70

89

3.8662

69

80

–4.6737

54

84

6.2287

39

54

–16.8690

9

71

13.9356

21

75

12.4138

54

84

6.2287

26

79

14.1130

Explanation of Solution

Calculation: Obtain the regression line using Minitab as follows:

Step 1: Enter the data in Minitab.

Step 2: Click on Stat --> Regression --> Regression.

Step 3: Double click on “IBI” to move it to response column and “Area” to move it to predictor column.

Step 4: Click on “Storage” and check the box for residuals.

Step 5: Click “OK” twice to obtain the result.

To determine

To graph: The scatterplot.

Expert Solution
Check Mark

Explanation of Solution

Graph: Construct a scatterplot using Minitab as follows:

Step 1: Enter the data in Minitab.

Step 2: Click on Graph --> Scatterplot. Select scatterplot with regression.

Step 3: Double click on “Area” to move it X variable and “Residuals” to move it to Y variable column.

Step 4: Click “OK” to obtain the graph.

The scatter plot is obtained as

Introduction to the Practice of Statistics, Chapter 10, Problem 48E , additional homework tip  3

Interpretation: The graph shows that there is more variation for small x.

To determine

Whether there is something unusual.

Expert Solution
Check Mark

Answer to Problem 48E

Solution: No, there is nothing unusual.

Explanation of Solution

The observations in the obtained residuals plot are scatters randomly over the line of origin. There is no pattern observed in the plot. So, it can be concluded that the errors are independent.

(g)

To determine

That residuals are normal or not.

(g)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The residuals are normally distributed.

Explanation of Solution

Construct the probability plot for residuals to test for the normality using Minitab as follows:

Step 1: Click on Stat --> Descriptive statistics --> Normality test.

Step 2: Double click on “Residuals” to move it to the variable column.

Step 3: Click “OK” to obtain the graph.

Introduction to the Practice of Statistics, Chapter 10, Problem 48E , additional homework tip  4

Conclusion: All the points lie near the trend line and there are no outliers. Therefore, it can be concluded that residuals are normally distributed.

(h)

To determine

If the assumptions of statistical inference are satisfied or not.

(h)

Expert Solution
Check Mark

Answer to Problem 48E

Solution: The assumptions are satisfied.

Explanation of Solution

Consider the solutions of part (c). Since the relationship between two variables is linear and residuals are normally distributed, it can be concluded that the assumptions for statistical inference are reasonably satisfied.

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