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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COQUARD Bryan | 59 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | ROJAS José Joaquín | 70 |
| 4 | MARTINEZ Yannick | 69 |
| 5 | MCLAY Daniel | 72 |
| 6 | DELAGE Mickaël | 70 |
| 7 | DANIEL Maxime | 74 |
| 8 | QUINTANA Nairo | 58 |
| 9 | JAUREGUI Quentin | 60 |
| 10 | POULHIÈS Stéphane | 75 |
| 11 | HARDY Romain | 62 |
| 12 | BELLETTI Manuel | 72 |
| 13 | KAMP Alexander | 74 |
| 14 | LASTRA Jonathan | 64 |
| 15 | OFFREDO Yoann | 69 |
| 16 | CHETOUT Loïc | 70 |
| 17 | QUINTANA Dayer | 58 |