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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOUHANNI Rayane | 70 |
| 4 | NORSGAARD Mathias | 88 |
| 5 | TOUZÉ Damien | 69 |
| 6 | BARTA Will | 61 |
| 11 | CAÑAVERAL Johnatan | 60 |
| 16 | MAGOSAKI Daiki | 62 |
| 17 | COSTA Adrien | 61 |
| 18 | LARSEN Niklas | 74 |
| 23 | MAITRE Florian | 71 |
| 24 | KOYAMA Takahiro | 58 |
| 26 | GERVAIS Laurent | 72 |
| 29 | GEE Derek | 72 |
| 30 | GRANIGAN Noah | 76 |
| 35 | GREGAARD Jonas | 66 |
| 39 | ZAHIRI Abderrahim | 57 |