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 = 17.2 * weight - 377
This means that on average for every extra kilogram weight a rider loses 17.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EARLEY Martin | 62 |
| 3 | GAYANT Martial | 69 |
| 990 | MADIOT Marc | 68 |
| 990 | RICHARD Pascal | 67 |
| 990 | MURGUIALDAY Javier | 58 |
| 990 | WELTZ Johnny | 65 |
| 990 | DE WOLF Fons | 75 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | ALONSO Marino | 70 |
| 990 | SVORADA Ján | 76 |