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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLO Michele | 63 |
| 2 | POZZO Mattia | 68 |
| 4 | JANG Chan Jae | 64 |
| 6 | HATANAKA Yusuke | 72 |
| 7 | NAKAJIMA Yasuharu | 64 |
| 11 | OJAVEE Mart | 80 |
| 13 | FUKUDA Shinpei | 70 |
| 14 | IRIBE Shotaro | 61 |
| 17 | DOI Yukihiro | 58 |
| 18 | SAI-UDOMSIN Phuchong | 60 |
| 19 | OKUBO Jin | 70 |
| 22 | CHOI Ki Ho | 59 |
| 23 | ABE Takayuki | 66 |
| 24 | TANG Wang Yip | 62 |