Use multiple linear regression to fit
x1 | 0 | 1 | 1 | 2 | 2 | 3 | 3 | 4 | 4 |
x2 | 0 | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 |
y | 15.1 | 17.9 | 12.7 | 25.6 | 20.5 | 35.1 | 29.7 | 45.4 | 40.2 |
Compute the coefficients, the standard error of the estimate, and the correlation coefficient.
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