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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSCA Jacopo | 65 |
| 2 | GUARDIOLA Salvador | 65 |
| 3 | LEBAS Thomas | 65 |
| 4 | GIDICH Yevgeniy | 69 |
| 5 | PARK Sang-Hoon | 77 |
| 6 | MONIER Damien | 75 |
| 8 | LAVERACK Edward | 62 |
| 11 | CRAWFORD Jai | 59 |
| 12 | KOISHI Yuma | 62 |
| 14 | DIAZ Daniel | 61 |
| 15 | LEMUS Luis | 61 |