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 = 1.1 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | JACOBS Pieter | 68 |
| 13 | SARAMOTINS Aleksejs | 75 |
| 15 | DEHAES Kenny | 73 |
| 16 | NEIRYNCK Stijn | 78 |
| 23 | MEERSMAN Gianni | 63 |
| 28 | VAN GENECHTEN Jonas | 67 |
| 32 | GROSDENT William | 74 |
| 38 | MURPHY John | 81 |
| 49 | DE BACKER Bert | 73 |
| 52 | VAN AVERMAET Greg | 74 |
| 58 | DE GREEF Francis | 77 |
| 59 | VANDENBERGH Stijn | 86 |
| 66 | VERBIST Evert | 73 |
| 67 | COZZA Steven | 70 |