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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONNET William | 80 |
| 3 | MANDRI René | 66 |
| 5 | KOSTYUK Denys | 66 |
| 6 | NAIBO Carl | 62 |
| 8 | ROY Jérémy | 70 |
| 9 | LAGUTIN Sergey | 68 |
| 10 | DELAGE Mickaël | 70 |
| 11 | HIVERT Jonathan | 62 |
| 13 | MARINO Jean-Marc | 65 |
| 14 | SHIMIZU Miyataka | 60 |
| 16 | HABEAUX Grégory | 68 |
| 19 | GÈNE Yohann | 67 |