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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AERT Wout | 78 |
| 2 | EEKHOFF Nils | 75 |
| 3 | SERRANO Gonzalo | 65 |
| 4 | HAYTER Ethan | 70 |
| 5 | TOWNSEND Rory | 73 |
| 6 | WOODS Michael | 62 |
| 7 | NIZZOLO Giacomo | 72 |
| 8 | ALAPHILIPPE Julian | 62 |
| 9 | MEURISSE Xandro | 71 |
| 10 | SBARAGLI Kristian | 74 |
| 12 | SHAW James | 63 |
| 13 | HONORÉ Mikkel Frølich | 68 |
| 14 | JORGENSON Matteo | 69 |
| 15 | SWIFT Connor | 75 |