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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SULZBERGER Wesley | 65 |
| 3 | UCHIMA Kohei | 63 |
| 4 | PUJOL Óscar | 58 |
| 5 | GARCIA Marcos | 55 |
| 6 | IRIBE Shotaro | 61 |
| 7 | LEBAS Thomas | 65 |
| 8 | SANO Junya | 76 |
| 10 | MONIER Damien | 75 |
| 12 | GARCÍA Ricardo | 68 |
| 13 | ABE Takayuki | 66 |