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 = 0.9 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SMETANINE Serguei | 69 |
| 3 | TCHMIL Andrei | 75 |
| 6 | WAUTERS Marc | 73 |
| 7 | EDO Ángel | 64 |
| 8 | AERTS Mario | 68 |
| 9 | OLANO Abraham | 70 |
| 10 | DE JONGH Steven | 76 |
| 12 | CASERO Ángel Luis | 72 |
| 17 | ESCARTÍN Fernando | 61 |
| 18 | LAISEKA Roberto | 63 |
| 19 | JALABERT Laurent | 66 |
| 20 | AGGIANO Elio | 63 |
| 24 | JONKER Patrick | 69 |
| 36 | BOVEN Jan | 65 |
| 43 | BLIJLEVENS Jeroen | 70 |
| 52 | LOTZ Marc | 76 |
| 58 | KOERTS Jans | 78 |