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 = 2.4 * weight - 112
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | EARLEY Martin | 62 |
| 20 | GAYANT Martial | 69 |
| 31 | WELTZ Johnny | 65 |
| 32 | MADIOT Marc | 68 |
| 39 | ZOETEMELK Joop | 68 |
| 58 | RICHARD Pascal | 67 |
| 67 | ALONSO Marino | 70 |
| 68 | MURGUIALDAY Javier | 58 |
| 77 | DE WOLF Fons | 75 |
| 95 | SVORADA Ján | 76 |