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 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FROOME Chris | 68 |
| 2 | THOMSON Jay Robert | 75 |
| 3 | IMPEY Daryl | 72 |
| 5 | SOUTHAM Tom | 69 |
| 8 | CRAVEN Dan | 75 |
| 9 | GLASNER Björn | 72 |
| 10 | GEORGE David | 61 |
| 12 | RICHARDSON Simon | 75 |
| 14 | HEYMANS Mannie | 65 |
| 18 | NEWTON Christopher | 69 |
| 23 | BASSINGTHWAIGHTE Marc | 68 |
| 26 | RASMUSSEN Alex | 88 |
| 28 | BOMMEL Henning | 75 |
| 36 | SAUSER Christoph | 65 |
| 37 | DE KETELE Kenny | 66 |