Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDALEINE Christophe | 62 |
| 3 | COENEN Johan | 67 |
| 5 | LEFÈVRE Laurent | 67 |
| 6 | SCHMIDT Torsten | 73 |
| 7 | BETTINI Paolo | 58 |
| 8 | FAGNINI Gian Matteo | 70 |
| 10 | AUGÉ Stéphane | 65 |
| 11 | FINOT Frédéric | 65 |
| 12 | FÉDRIGO Pierrick | 66 |
| 13 | ROBERTS Luke | 71 |
| 15 | SINKEWITZ Patrik | 63 |
| 17 | GRABSCH Bert | 78 |