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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 2 | KOLAHDOZHAGH Amir | 60 |
| 3 | NIBALI Antonio | 65 |
| 4 | JARAMILLO Daniel | 63 |
| 5 | HAMILTON Chris | 70 |
| 6 | HORI Takaaki | 56 |
| 8 | MINATO Ryo | 62 |
| 9 | KIMURA Keisuke | 61 |
| 10 | YOKOYAMA Kota | 57 |
| 12 | OKAMOTO Hayato | 65 |
| 13 | ONODERA Rei | 65 |
| 14 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 15 | YASUHARA Daiki | 62 |
| 16 | KOISHI Yuma | 62 |