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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NICOLAU Joel | 66 |
| 2 | BREGNHØJ Mathias | 63 |
| 3 | RØED Torbjørn Andre | 74 |
| 4 | SHEFFIELD Magnus | 73 |
| 7 | DE POOTER Dries | 66 |
| 8 | TULETT Ben | 56 |
| 9 | MILESI Lorenzo | 70 |
| 10 | DE BONDT Dries | 73 |
| 11 | VACEK Mathias | 75 |
| 12 | NYS Thibau | 64 |
| 13 | VERMAERKE Kevin | 67 |
| 14 | VALTER Attila | 65 |
| 15 | ZWIEHOFF Ben | 61 |
| 16 | EIKING Odd Christian | 75 |
| 18 | KYFFIN Zeb | 72 |