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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Will | 81 |
| 2 | SCHNAIDT Fabian | 70 |
| 5 | ASKARI Hossein | 73 |
| 7 | NISHITANI Taiji | 62 |
| 8 | KUBOKI Kazushige | 68 |
| 9 | SOHRABI Mehdi | 69 |
| 10 | MIZBANI Ghader | 67 |
| 11 | KADLEC Milan | 70 |
| 12 | NAKAJIMA Yasuharu | 64 |