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 = -11.9 * weight + 1564
This means that on average for every extra kilogram weight a rider loses -11.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | MOSER Francesco | 79 |
| 9 | HINAULT Bernard | 62 |
| 10 | ZOETEMELK Joop | 68 |
| 990 | MAERTENS Freddy | 65 |
| 990 | MARTINEZ Paulino | 80 |
| 990 | NILSSON Sven-Åke | 63 |
| 990 | BITTINGER René | 69 |
| 990 | YATES Sean | 74 |
| 990 | LEMOND Greg | 67 |
| 990 | JOURDAN Christian | 64 |
| 990 | MADIOT Marc | 68 |
| 990 | DE WOLF Fons | 75 |
| 990 | DIDIER Lucien | 67 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |