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 = 3.5 * weight - 212
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TCHMIL Andrei | 75 |
| 3 | DE JONGH Steven | 76 |
| 4 | TETERIOUK Andrei | 72 |
| 7 | EDO Ángel | 64 |
| 9 | JALABERT Laurent | 66 |
| 10 | BROCHARD Laurent | 68 |
| 12 | SMETANINE Serguei | 69 |
| 14 | MØLLER Claus Michael | 70 |
| 15 | IVANOV Sergei | 73 |
| 17 | OLANO Abraham | 70 |
| 19 | BOVEN Jan | 65 |
| 67 | JONKER Patrick | 69 |
| 99 | KOERTS Jans | 78 |
| 101 | BLIJLEVENS Jeroen | 70 |
| 102 | LOTZ Marc | 76 |