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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN GOOLEN Jurgen | 70 |
| 2 | STEEGMANS Gert | 82 |
| 4 | AMORISON Frédéric | 70 |
| 5 | DE SCHROODER Benny | 61 |
| 7 | ABAKOUMOV Igor | 68 |
| 9 | CAETHOVEN Steven | 67 |
| 16 | KASHECHKIN Andrey | 70 |
| 20 | SOUTHAM Tom | 69 |
| 21 | WILLEMS Frederik | 67 |
| 28 | SIJMENS Nico | 69 |