Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.
Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.CR: Chapter Review
Problem 37E: Find the positive geometric mean between 4 and 64.
Related questions
Question
Wins |
Attendance (In Millions) |
|
65 |
2.06 |
|
91 |
2.51 |
|
66 |
1.73 |
|
89 |
3.05 |
|
75 |
3.06 |
|
88 |
2.19 |
|
91 |
2.06 |
|
69 |
1.39 |
|
83 |
2.88 |
|
81 |
2.46 |
|
80 |
1.54 |
|
76 |
2.33 |
|
67 |
1.62 |
|
80 |
3.25 |
|
80 |
3.56 |
|
77 |
2.78 |
|
94 |
3.22 |
|
79 |
2.56 |
|
95 |
3.77 |
|
81 |
1.42 |
|
97 |
3.65 |
|
57 |
1.61 |
|
90 |
2.13 |
|
|
3.04 |
|
61 |
2.09 |
|
86 |
3.3 |
|
96 |
1.84 |
|
90 |
2.51 |
|
85 |
1.63 |
|
69 |
1.83 |
- Draw a
scatter diagram depicting thecorrelation between the two variables.
- Determine the
correlation coefficient between the two variables using Excel.
- Present a regression output between a dependent and one independent variable.
- Obtain estimated coefficients and R-squared and interpret them.
- Write a short report on the findings.
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