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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 2 | HOFFMANN Erik | 65 |
| 11 | JANSE VAN RENSBURG Jacques | 63 |
| 13 | DOI Yukihiro | 58 |
| 16 | SEO Joon Yong | 66 |
| 18 | PARK Sung Baek | 73 |
| 23 | WU Kin San | 68 |
| 28 | SUZUKI Yuzuru | 57 |
| 34 | JANG Chan Jae | 64 |
| 35 | FUKUSHIMA Shinichi | 62 |
| 38 | MATZKA Ralf | 69 |
| 39 | VENTER Jaco | 70 |
| 42 | MCCANN David | 73 |
| 43 | SUZUKI Shinri | 60 |
| 44 | ROE Timothy | 66 |
| 50 | HATANAKA Yusuke | 72 |