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 + 44
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 9 | HOFFMANN Erik | 65 |
| 10 | DOI Yukihiro | 58 |
| 13 | MCCANN David | 73 |
| 15 | SEO Joon Yong | 66 |
| 22 | JANSE VAN RENSBURG Jacques | 63 |
| 25 | SUZUKI Yuzuru | 57 |
| 27 | VENTER Jaco | 70 |
| 28 | PARK Sung Baek | 73 |
| 34 | JANG Chan Jae | 64 |
| 41 | WU Kin San | 68 |
| 53 | MATZKA Ralf | 69 |
| 71 | FUKUSHIMA Shinichi | 62 |
| 80 | ROE Timothy | 66 |
| 84 | HATANAKA Yusuke | 72 |
| 87 | SUZUKI Shinri | 60 |