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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Mads | 76 |
| 2 | BENNETT Sam | 73 |
| 3 | PAGE Hugo | 71 |
| 4 | VENTURINI Clément | 60 |
| 5 | DOULL Owain | 71 |
| 6 | GAZZOLI Michele | 76 |
| 7 | GARCÍA CORTINA Iván | 77 |
| 8 | LE BERRE Mathis | 68 |
| 9 | WRIGHT Fred | 75 |
| 10 | RUSSO Clément | 74 |
| 11 | DONOVAN Mark | 70 |
| 12 | CORT Magnus | 68 |
| 13 | PEDERSEN Casper | 71 |