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 = 1.9 * weight - 115
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 5 | VERSTREPEN Johan | 66 |
| 6 | SIMON François | 70 |
| 9 | FARAZIJN Peter | 69 |
| 14 | VAN BON Léon | 72 |
| 16 | BOOGERD Michael | 62 |
| 19 | JIMÉNEZ José María | 70 |
| 23 | BOURGUIGNON Thierry | 72 |
| 24 | INDURÁIN Miguel | 76 |
| 28 | JEKER Fabian | 72 |
| 50 | JÄRMANN Rolf | 73 |
| 57 | MADOUAS Laurent | 70 |