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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BERZIN Evgeni | 64 |
| 3 | BROCHARD Laurent | 68 |
| 4 | NOÈ Andrea | 65 |
| 6 | VANDENBROUCKE Frank | 67 |
| 7 | SCIANDRI Maximilian | 75 |
| 8 | BUGNO Gianni | 68 |
| 11 | HERVÉ Pascal | 62 |
| 12 | TOTSCHNIG Georg | 62 |
| 14 | GOUBERT Stéphane | 62 |
| 15 | SEIGNEUR Eddy | 71 |