Brian 81 86 76 Gregory 81 87 75 Kristina 98 96 84 Timothy 50 27 20 Jason 91 83 71 Whitney 87 89 85 Alexis 90 91 68 Nicholas 95 82 68 Amandeep 91 37 54 Irena 93 81 82 Yvon 88 66 82 Sara 99 90 77 Annie 89 92 68 Benjamin 87 62 72 David 92 66 78 Josef 62 43 56 Rebecca 93 87 80 Joshua 95 93 87 lan 93 65 66 Katharine 92 98 77 Emily 95 83 Brian 92 80 82 Shad 61 58 65 Michael 55 65 51 Israel 76 88 67 Iris 63 62 67 Mark 89 66 72 Peter 91 42 66 Catherine 90 85 78 Christina 75 62 72 Enrique 75 46 72 Sarah 91 65 77 Thomas 84 70 70 Sonya 94 92 81 Michael 93 78 72 Wesley 91 58 66 Mark 91 61 79 Adam 89 86 62 Jared 98 92 83 Michael 96 83 Kathryn Page 760 / 95 95 Nicole 98 89
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Grades The data set below shows midterm scores from
an Introductory Statistics course.
the first.
b) Comment on the model you found, including a
discussion of the assumptions and conditions for
regression. Is the coefficient for the slope statistically
significant?
c) A student comments that because the P-value for the
slope is very small, Midterm 2 is very well predicted
sor can give just one midterm. What do you think?
![Brian
81
86
76
Gregory
81
87
75
Kristina
98
96
84
Timothy
50
27
20
Jason
91
83
71
Whitney
87
89
85
Alexis
90
91
68
Nicholas
95
82
68
Amandeep
91
37
54
Irena
93
81
82
Yvon
88
66
82
Sara
99
90
77
Annie
89
92
68
Benjamin
87
62
72
David
92
66
78
Josef
62
43
56
Rebecca
93
87
80
Joshua
95
93
87
lan
93
65
66
Katharine
92
98
77
Emily
95
83
Brian
92
80
82
Shad
61
58
65
Michael
55
65
51
Israel
76
88
67
Iris
63
62
67
Mark
89
66
72
Peter
91
42
66
Catherine
90
85
78
Christina
75
62
72
Enrique
75
46
72
Sarah
91
65
77
Thomas
84
70
70
Sonya
94
92
81
Michael
93
78
72
Wesley
91
58
66
Mark
91
61
79
Adam
89
86
62
Jared
98
92
83
Michael
96
83
Kathryn
Page 760 /
95
95
Nicole
98
89](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F210b62cf-b227-4c3c-bfea-7f793e9cf64c%2Fd37d42ec-85d4-4a9e-995d-84cc921d9472%2Fq418t78.png&w=3840&q=75)
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