In order to fit the regression line on a data set consisting of 34 pairs of values (z,y), the least square estimates of β1 and β2 are to be computed. From the data set, the following values are obtained:
Obtain the fitted regression line.
We are given: * Number of observations: $n = 34$ * $\sum x_i = 100.73$ * $\sum y_i = 16703$ * $\sum x_i^2 = 304.7885$ * $\sum x_i y_i = 50006.47$ We want to fit the regression _________ ___ _____ ____ _____ ____ ______ ____.
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| y/x | -1 | 0 | 1 |
| -1 | α | β | α |
| 0 | β | α | β |
| 1 | α | β | α |
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|
| Barium | |||
| High Mercury | Low Mercury | |||
| Arsenic | High | Low | High | Low |
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| Low | 4 | 8 | 10 | 18 |
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In order to fit the regression line on a data set consisting of 34 pairs of values (z,y), the least square estimates of β1 and β2 are to be computed. From the data set, the following values are obtained:
Obtain the fitted regression line.