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 = 2.1 * weight - 141
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LILHOLT Søren | 72 |
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | MARIE Thierry | 68 |
| 9 | SWART Steve | 74 |
| 12 | PEETERS Wilfried | 76 |
| 13 | SERGEANT Marc | 76 |
| 20 | HODGE Stephen | 74 |
| 50 | RUÉ Gérard | 74 |