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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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