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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | PHILIPSEN Jasper | 75 |
| 3 | BAŠKA Erik | 74 |
| 4 | VIVIANI Elia | 67 |
| 5 | GREIPEL André | 80 |
| 6 | HALVORSEN Kristoffer | 69 |
| 7 | EWAN Caleb | 69 |
| 8 | SARREAU Marc | 76 |
| 9 | WELSFORD Sam | 79 |
| 10 | DAINESE Alberto | 70 |
| 11 | IMPEY Daryl | 72 |
| 12 | DRIZNERS Jarrad | 70 |
| 13 | SUNDERLAND Dylan | 67 |
| 14 | LAWLESS Chris | 72 |
| 15 | HAAS Nathan | 71 |
| 16 | STORER Michael | 63 |