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 = -0.5 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOREAU Christophe | 71 |
| 2 | HAMILTON Tyler | 65 |
| 3 | VERBRUGGHE Rik | 70 |
| 4 | ARMSTRONG Lance | 72 |
| 5 | JONKER Patrick | 69 |
| 6 | VINOKOUROV Alexandre | 68 |
| 7 | BOARDMAN Chris | 70 |
| 8 | LEFÈVRE Laurent | 67 |
| 9 | VAUGHTERS Jonathan | 64 |
| 10 | BROCHARD Laurent | 68 |