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 = 1.6 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AHLSTRAND Jonas | 72 |
| 10 | GMELICH MEIJLING Jarno | 77 |
| 11 | PARDINI Olivier | 68 |
| 13 | RÄIM Mihkel | 69 |
| 27 | EDMÜLLER Benjamin | 70 |
| 29 | MANNINEN Matti | 70 |
| 30 | AVERIN Maksym | 74 |
| 33 | BERTILSSON Christian | 80 |
| 35 | LUNKE Sindre | 69 |
| 46 | HENTTALA Joonas | 73 |
| 56 | SÖDERGRANN Jakob | 80 |