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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Lance | 72 |
| 2 | VAUGHTERS Jonathan | 64 |
| 3 | VERHEYEN Geert | 68 |
| 4 | BOUVARD Gilles | 70 |
| 5 | JONKER Patrick | 69 |
| 6 | NOÈ Andrea | 65 |
| 7 | AERTS Mario | 68 |
| 8 | VAN DE WOUWER Kurt | 66 |
| 9 | LIVINGSTON Kevin | 70 |
| 10 | HAMILTON Tyler | 65 |