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 = 2.6 * weight - 157
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 3 | LILHOLT Søren | 72 |
| 4 | BAUER Steve | 72 |
| 6 | FIGNON Laurent | 67 |
| 12 | KUIPER Hennie | 69 |
| 14 | TRINKLER Richard | 67 |
| 23 | VANDERAERDEN Eric | 74 |
| 60 | DE ROOIJ Theo | 69 |
| 62 | PEETERS Wilfried | 76 |
| 64 | NIJDAM Jelle | 70 |