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 - 96
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 6 | BERNAUDEAU Jean-René | 64 |
| 9 | MADIOT Marc | 68 |
| 10 | JOURDAN Christian | 64 |
| 11 | MARTIN Raymond | 62 |
| 20 | BOURREAU Bernard | 63 |
| 21 | FIGNON Laurent | 67 |
| 25 | GAYANT Martial | 69 |
| 27 | CHEVALLIER Philippe | 69 |
| 33 | OVION Régis | 64 |