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 + 56
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 7 | SOUTHAM Tom | 69 |
| 11 | GEORGE David | 61 |
| 13 | ABE Yoshiyuki | 67 |
| 29 | SANO Junya | 76 |
| 30 | ZONNEVELD Thijs | 63 |
| 35 | BOILLAT Joris | 68 |
| 36 | FUKUSHIMA Shinichi | 62 |
| 37 | CRAWFORD Jai | 59 |
| 42 | MIZBANI Ghader | 67 |
| 49 | KAZEMI Sarai Ahad | 71 |
| 82 | NISSEN Søren | 65 |
| 95 | XU Gang | 69 |