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 = 1.4 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUÉ Gérard | 74 |
| 5 | ROCHE Stephen | 74 |
| 26 | DELGADO Pedro | 64 |
| 36 | GARMENDIA Aitor | 68 |
| 39 | GAVAZZI Pierino | 67 |
| 43 | BRUYNEEL Johan | 71 |
| 48 | DUCLOS-LASSALLE Gilbert | 73 |
| 51 | MOREAU Francis | 77 |
| 54 | DE WOLF Fons | 75 |
| 61 | HOLM SØRENSEN Brian | 77 |
| 63 | LILHOLT Søren | 72 |
| 65 | MUSEEUW Johan | 71 |
| 67 | PEETERS Wilfried | 76 |