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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARCATO Marco | 67 |
| 2 | PRONI Alessandro | 68 |
| 3 | FUGLSANG Jakob | 67 |
| 4 | DEGAND Thomas | 63 |
| 5 | ZINGLE Romain | 67 |
| 6 | VANTOMME Maxime | 63 |
| 7 | PINEAU Cédric | 68 |
| 8 | VANMARCKE Sep | 77 |
| 9 | CURVERS Roy | 73 |
| 10 | LÖWIK Gerben | 72 |
| 11 | HOOGERLAND Johnny | 65 |
| 12 | COMMEYNE Davy | 70 |
| 13 | TJALLINGII Maarten | 81 |