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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YAMAMOTO Genki | 62 |
| 2 | LEBAS Thomas | 65 |
| 3 | BOUGLAS Georgios | 71 |
| 4 | SAINBAYAR Jambaljamts | 60 |
| 6 | CAVANAGH Ryan | 72 |
| 8 | NAKAI Tadaaki | 62 |
| 9 | OKAMOTO Hayato | 65 |
| 10 | ONODERA Rei | 65 |
| 11 | ISHIGAMI Masahiro | 58 |
| 12 | MANCEBO Francisco | 64 |
| 13 | TORIBIO José Vicente | 64 |
| 14 | GULD Daniel | 67 |
| 16 | PRADES Benjamín | 56 |