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 = 2.1 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUZUKI Shinri | 60 |
| 2 | HOFFMANN Erik | 65 |
| 5 | LAGUTIN Sergey | 68 |
| 16 | JANSE VAN RENSBURG Jacques | 63 |
| 17 | DOI Yukihiro | 58 |
| 21 | SEO Joon Yong | 66 |
| 22 | WU Kin San | 68 |
| 31 | JANG Chan Jae | 64 |
| 34 | PARK Sung Baek | 73 |
| 35 | FUKUSHIMA Shinichi | 62 |
| 40 | HATANAKA Yusuke | 72 |
| 41 | SUZUKI Yuzuru | 57 |
| 56 | VENTER Jaco | 70 |
| 58 | ROE Timothy | 66 |
| 63 | MATZKA Ralf | 69 |
| 77 | MCCANN David | 73 |