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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | BARTA Will | 61 |
| 3 | BOUHANNI Rayane | 70 |
| 8 | CÔTÉ Pier-André | 74 |
| 10 | TOUZÉ Damien | 69 |
| 12 | COSTA Adrien | 61 |
| 15 | KOYAMA Takahiro | 58 |
| 17 | LARSEN Niklas | 74 |
| 18 | GRANIGAN Noah | 76 |
| 22 | GREGAARD Jonas | 66 |
| 26 | GEE Derek | 72 |