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 | RUFFONI Nicola | 70 |
| 2 | PASQUALON Andrea | 75 |
| 3 | VANOTTI Alessandro | 70 |
| 4 | MARTINEZ Yannick | 69 |
| 5 | VENTURINI Clément | 60 |
| 6 | AUER Daniel | 73 |
| 7 | KONING Peter | 77 |
| 8 | KAMYSHEV Arman | 67 |
| 9 | VAN GINNEKEN Sjoerd | 72 |
| 11 | KATRAŠNIK Gašper | 69 |
| 12 | STOSZ Patryk | 70 |
| 13 | ERSHOV Artur | 70 |