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 = 1.2 * weight - 36
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | GAYANT Martial | 69 |
| 27 | MADIOT Marc | 68 |
| 34 | RUÉ Gérard | 74 |
| 40 | TOLHOEK Patrick | 63 |
| 43 | MEJIA Alvaro | 63 |
| 54 | TONKOV Pavel | 70 |
| 58 | BAUER Steve | 72 |
| 59 | PEDERSEN Atle | 70 |
| 65 | EARLEY Martin | 62 |
| 68 | IMBODEN Heinz | 70 |
| 76 | DEMOL Dirk | 72 |
| 85 | SOLLEVELD Gerrit | 93 |