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A teacher gathered data on hours studying and test scores. The data are shown in the following table below. Create a scatter plot, and conduct a test to determine if there is a statistically significant relationship between hours studying and test scores.

Hours Studying

Test score

0.62

2.02

1.5

4.62

0.34

2.6

0.97

1.59

3.54

4.67

0.69

2.52

1.53

2.28

0.32

1.68

1.94

2.5

1.25

4.04

1.42

2.63

3.07

3.53

3.99

3.9

1.73

2.75

1.29

2.95

0.62

2.02

a. State the null and alternative hypothesis

b. Identify the explanatory and response variable

c. From the scatter plot and the printout:(Include both)

i.Analyze the results,

ii.Tie the results back to the original hypothesis.

d. Identify the regression equation.

e.Find the best predicted test score for a student who studies 1.56 hours. (Include your calculations)

1.One-sample t test 10 pts. A professor wants to see how much students learn over the course of a semester. A pre-test is given before the class begins, and the same test is given at the end of the semester to see what students know at the end. The data are below:

Pre-test

Post-test

93

91

95

100

67

64

89

91

90

95

94

95

83

89

75

82

87

92

82

83

82

85

88

93

66

69

90

90

93

100

91

96

c. test for a statistically significant improvement at the ? = 0.05 level, you would perform a one-sample t-test on the differences Calculate this

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