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 = -1.6 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOONEN Tom | 82 |
| 3 | CAPPELLE Andy | 71 |
| 4 | GARDEYN Gorik | 75 |
| 5 | SENTJENS Roy | 75 |
| 20 | MUTSAARS Ronald | 67 |
| 22 | STEEGMANS Gert | 82 |
| 23 | ROSSELER Sébastien | 78 |
| 24 | SOUTHAM Tom | 69 |
| 25 | CAETHOVEN Steven | 67 |
| 39 | DOCKX Bart | 64 |
| 44 | CALZATI Sylvain | 68 |
| 49 | DE WILDE Sjef | 74 |
| 59 | VERSTRAETEN Jan | 65 |
| 65 | CUMMINGS Steve | 73 |