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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Raymond | 62 |
| 4 | KUIPER Hennie | 69 |
| 7 | ZOETEMELK Joop | 68 |
| 10 | BERNAUDEAU Jean-René | 64 |
| 11 | NILSSON Sven-Åke | 63 |
| 14 | JOURDAN Christian | 64 |
| 15 | BITTINGER René | 69 |
| 24 | DIDIER Lucien | 67 |