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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRASER Gordon | 71 |
| 4 | POWER Ciarán | 68 |
| 5 | BOONEN Tom | 82 |
| 7 | HORNER Chris | 70 |
| 8 | GARDEYN Gorik | 75 |
| 11 | SWEET Jay | 69 |
| 13 | CRUZ Antonio | 66 |
| 14 | ASTARLOA Igor | 61 |
| 16 | VANTHOURENHOUT Sven | 65 |
| 17 | PINEDA Oscar | 59 |