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 + 40
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TASHIRO Yasutaka | 54 |
| 3 | KRUPA Dawid | 74 |
| 7 | MCCANN David | 73 |
| 9 | ARASHIRO Yukiya | 64 |
| 15 | PLAXTON Max | 70 |
| 23 | MEIER Christian | 61 |
| 25 | WU Kin San | 68 |
| 28 | ROMANIK Radosław | 62 |
| 30 | SANO Junya | 76 |
| 36 | SUZUKI Shinri | 60 |
| 40 | WONG Kam-Po | 65 |
| 43 | BEYER Chad | 63 |
| 55 | TANG Wang Yip | 62 |
| 56 | CHAN Chun Hing | 70 |