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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | EWAN Caleb | 69 |
| 3 | SINKELDAM Ramon | 77 |
| 4 | RICHEZE Maximiliano | 68 |
| 5 | NIZZOLO Giacomo | 72 |
| 6 | RUFFONI Nicola | 70 |
| 7 | VON HOFF Steele | 70 |
| 8 | LATHAM Christopher | 81 |
| 9 | MCLAY Daniel | 72 |
| 10 | DEBUSSCHERE Jens | 77 |
| 11 | SIMION Paolo | 79 |
| 12 | VEREECKEN Nicolas | 72 |
| 13 | GONÇALVES Domingos | 70 |
| 14 | SÁEZ Héctor | 75 |
| 15 | WOOD Oliver | 72 |