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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RADOCHLA Steffen | 70 |
| 2 | PÜTSEP Erki | 69 |
| 3 | RICHEZE Maximiliano | 68 |
| 4 | MIYAZAWA Takashi | 61 |
| 6 | AGGIANO Elio | 63 |
| 8 | BELLOTTI Francesco | 65 |
| 11 | SCHMIDT Torsten | 73 |
| 12 | PEDRAZA Wálter Fernando | 58 |
| 15 | LEFÈVRE Laurent | 67 |
| 17 | POILVET Benoît | 71 |
| 18 | MATVEYEV Sergiy | 78 |
| 19 | GEORGE David | 61 |