Calculate Pearson’s r and the coefficient of determination from the following data. Summarize your findings in a sentence that interprets both r and r2.
Name | Test 1 | Test 2 |
Sheldon | 1 | 3 |
Leonard | 4 | 6 |
Rajesh | 7 | 7 |
Howard | 3 | 5 |
Penny | 6 | 4 |
Amy | 2 | 4 |
Bernadette |
5 | 6 |
We have to find Pearson’s r and the coefficient of determination.
Formula is:
n = 7
x | y | xy | x^2 | y^2 | |
1 | 3 | 3 | 1 | 9 | |
4 | 6 | 24 | 16 | 36 | |
7 | 7 | 49 | 49 | 49 | |
3 | 5 | 15 | 9 | 25 | |
6 | 4 | 24 | 36 | 16 | |
2 | 4 | 8 | 4 | 16 | |
5 | 6 | 30 | 25 | 36 | |
Total | 28 | 35 | 153 | 140 | 187 |
Coefficient of determination is:
Interpretation of Pearson r :
There is a positive correlation between test1 and test2.
Interpretation of the coefficient of determination:
50.30% variation explained by the model using regressor.
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