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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OKA Atsushi | 58 |
| 3 | YAMAMOTO Masaki | 63 |
| 4 | KUDUS Merhawi | 58 |
| 6 | GULD Daniel | 67 |
| 7 | KIM Euro | 68 |
| 8 | PRADES Benjamín | 56 |
| 10 | ACOSTA Ruben Dario | 58 |
| 11 | CAVANAGH Ryan | 72 |
| 12 | KOISHI Yuma | 62 |
| 13 | TOKOI Ryota | 58 |
| 14 | ARASHIRO Yudai | 65 |
| 15 | QUINTERO Leonel | 67 |
| 16 | SUZUKI Yuzuru | 57 |
| 17 | TANI Junsei | 64 |