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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEWART Jake | 66 |
| 2 | CARDIS Romain | 72 |
| 3 | VAN TRICHT Stan | 64 |
| 4 | SOUPE Geoffrey | 70 |
| 5 | MARIAULT Axel | 58 |
| 6 | SKJELMOSE Mattias | 65 |
| 7 | VENTURINI Clément | 60 |
| 9 | PICCOLO Andrea | 64 |
| 10 | GIBBONS Ryan | 70 |
| 11 | JARNET Maxime | 63 |
| 12 | ROPERO Alejandro | 61 |
| 13 | CAVAGNA Rémi | 78 |
| 14 | CALMEJANE Lilian | 70 |
| 15 | SERRANO Gonzalo | 65 |