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 = 3.4 * weight + 636
This means that on average for every extra kilogram weight a rider loses 3.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | ZOETEMELK Joop | 68 |
| 990 | THALER Klaus-Peter | 60 |
| 990 | VAN VLIET Leo | 65 |
| 990 | DIDIER Lucien | 67 |
| 990 | BERNAUDEAU Jean-René | 64 |
| 990 | BARONCHELLI Gianbattista | 72 |
| 990 | VANDI Alfio | 64 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | NILSSON Sven-Åke | 63 |
| 990 | MARTIN Raymond | 62 |
| 990 | KUIPER Hennie | 69 |
| 990 | BOURREAU Bernard | 63 |
| 990 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | BITTINGER René | 69 |