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 = 20.7 * weight - 685
This means that on average for every extra kilogram weight a rider loses 20.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIRENQUE Richard | 65 |
| 3 | MEJIA Alvaro | 63 |
| 4 | JONKER Patrick | 69 |
| 990 | KASPUTIS Artūras | 83 |
| 990 | GARMENDIA Aitor | 68 |
| 990 | VANDENBROUCKE Frank | 67 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | MICHAELSEN Lars | 79 |
| 990 | HERVÉ Pascal | 62 |
| 990 | KELLY Sean | 77 |
| 990 | ARROYO Miguel | 59 |
| 990 | HEULOT Stéphane | 69 |
| 990 | RUÉ Gérard | 74 |