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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VORGANOV Eduard | 65 |
| 7 | DUCLOS-LASSALLE Hervé | 63 |
| 10 | LUND Anders | 65 |
| 11 | SCHWAB Hubert | 65 |
| 17 | FUKUSHIMA Shinichi | 62 |
| 18 | MOINARD Amaël | 69 |
| 24 | SOKOLOV Evgeny | 70 |
| 26 | TASHIRO Yasutaka | 54 |