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 + 69
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | BAUER Steve | 72 |
| 6 | VAN DER POEL Adrie | 70 |
| 10 | EARLEY Martin | 62 |
| 12 | YATES Sean | 74 |
| 15 | BOMANS Carlo | 74 |
| 20 | VANDERAERDEN Eric | 74 |
| 24 | KUIPER Hennie | 69 |
| 30 | HOSTE Frank | 76 |
| 42 | LLOYD Dave | 76 |
| 47 | ELLIOTT Malcolm | 76 |
| 57 | JOURDAN Christian | 64 |
| 59 | DE WOLF Fons | 75 |
| 60 | WILLIAMS Jeff | 57 |
| 68 | NICKSON Bill | 76 |