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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | BENNETT Sam | 73 |
| 3 | PEDERSEN Mads | 76 |
| 4 | KOOIJ Olav | 72 |
| 5 | POGAČAR Tadej | 66 |
| 6 | DE LIE Arnaud | 78 |
| 7 | MATTHEWS Michael | 72 |
| 8 | LATOUR Pierre | 66 |
| 9 | COQUARD Bryan | 59 |
| 10 | GARCÍA CORTINA Iván | 77 |
| 11 | GODON Dorian | 74 |
| 12 | GROVES Kaden | 76 |
| 13 | DÉMARE Arnaud | 76 |