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 = -0.1 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ABE Yoshiyuki | 67 |
| 6 | WONG Kam-Po | 65 |
| 7 | MCCANN David | 73 |
| 9 | TASHIRO Yasutaka | 54 |
| 10 | FUKUSHIMA Shinichi | 62 |
| 22 | CHAN Chun Hing | 70 |
| 31 | SUZUKI Shinri | 60 |
| 63 | PAURIOL Rémi | 68 |
| 64 | TSUJI Yoshimitsu | 62 |