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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWLESS Chris | 72 |
| 2 | PEDERSEN Mads | 76 |
| 4 | HALVORSEN Kristoffer | 69 |
| 5 | YAMAMOTO Masaki | 63 |
| 6 | BURTON Germain | 55 |
| 7 | TOUZÉ Damien | 69 |
| 9 | TIETEMA Bas | 74 |
| 10 | LOOIJ André | 75 |
| 11 | KURIANOV Stepan | 74 |
| 12 | MADOUAS Valentin | 71 |
| 14 | GEOGHEGAN HART Tao | 65 |
| 16 | OIEN Justin | 68 |
| 17 | SCHULZE Julian | 64 |