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 - 68
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | ZOETEMELK Joop | 68 |
| 9 | VAN IMPE Lucien | 59 |
| 11 | NILSSON Sven-Åke | 63 |
| 12 | MARTIN Raymond | 62 |
| 13 | MAERTENS Freddy | 65 |
| 19 | BITTINGER René | 69 |
| 24 | RAAS Jan | 72 |
| 25 | DEN HERTOG Fedor | 76 |
| 28 | BOURREAU Bernard | 63 |
| 34 | KELLY Sean | 77 |
| 35 | THALER Klaus-Peter | 60 |
| 41 | LASA Miguel María | 68 |
| 49 | DEMEYER Marc | 85 |
| 52 | DIDIER Lucien | 67 |
| 57 | VAN DEN HOEK Aad | 77 |