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 | LAPORTE Christophe | 76 |
| 2 | TRENTIN Matteo | 74 |
| 3 | HERREGODTS Rune | 70 |
| 4 | ZINGLE Axel | 67 |
| 5 | VAN GILS Maxim | 63 |
| 6 | VAN POPPEL Danny | 82 |
| 7 | BAGIOLI Andrea | 60 |
| 8 | GODON Dorian | 74 |
| 9 | WRIGHT Fred | 75 |
| 10 | STANNARD Robert | 74 |
| 11 | BRENNER Marco | 59 |
| 12 | VAN DEN BOSSCHE Fabio | 63 |
| 13 | VAN MOER Brent | 79 |