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 = 0.7 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASUDA Nariyuki | 61 |
| 2 | LEBAS Thomas | 65 |
| 3 | YAMAMOTO Masaki | 63 |
| 5 | MANCEBO Francisco | 64 |
| 6 | TANI Junsei | 68 |
| 8 | TORIBIO José Vicente | 64 |
| 9 | ONODERA Rei | 65 |
| 10 | KOBAYASHI Marino | 64 |
| 11 | KOISHI Yuma | 62 |
| 12 | YOKOTSUKA Kohei | 70 |
| 14 | TOKUDA Suguru | 65 |
| 16 | WATANABE Shotaro | 65 |