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 = 1.7 * weight + 565
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 4 | BAUER Steve | 72 |
| 7 | VAN DER POEL Adrie | 70 |
| 8 | LEMOND Greg | 67 |
| 15 | KUIPER Hennie | 69 |
| 990 | JOURDAN Christian | 64 |
| 990 | WILLIAMS Jeff | 57 |
| 990 | ELLIOTT Malcolm | 76 |
| 990 | NICKSON Bill | 76 |
| 990 | LLOYD Dave | 76 |
| 990 | DE WOLF Fons | 75 |
| 990 | YATES Sean | 74 |
| 990 | VANDERAERDEN Eric | 74 |
| 990 | EARLEY Martin | 62 |
| 990 | HOSTE Frank | 76 |
| 990 | BOMANS Carlo | 74 |