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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | KREDER Raymond | 70 |
| 3 | SALEH Mohd Zamri | 58 |
| 5 | NAKAJIMA Yasuharu | 64 |
| 8 | SEO Joon Yong | 66 |
| 10 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 11 | PARK Sung Baek | 73 |
| 12 | HUCKER Robbie | 68 |
| 13 | CHAIYASOMBAT Thanakhan | 58 |
| 15 | KUROEDA Saya | 57 |
| 17 | PELLAUD Simon | 70 |