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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 7 | BERNAUDEAU Jean-René | 64 |
| 11 | DIDIER Lucien | 67 |
| 12 | VANDI Alfio | 64 |
| 13 | ZOETEMELK Joop | 68 |
| 14 | SCHEPERS Eddy | 60 |
| 21 | MARTIN Raymond | 62 |
| 22 | VAN VLIET Leo | 65 |
| 24 | BITTINGER René | 69 |
| 25 | NILSSON Sven-Åke | 63 |
| 27 | KUIPER Hennie | 69 |
| 32 | THALER Klaus-Peter | 60 |
| 47 | BOURREAU Bernard | 63 |
| 48 | DUCLOS-LASSALLE Gilbert | 73 |