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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZARGARI Amir | 62 |
| 4 | PUJOL Óscar | 58 |
| 8 | MOAZEMI Arvin | 70 |
| 11 | HADDI Soufiane | 63 |
| 12 | NIETO Edgar | 58 |
| 14 | SAFARZADEH Saeid | 66 |
| 15 | POURHASHEMI Hamid | 64 |
| 17 | SALEH Mohd Zamri | 58 |
| 21 | CAHYADI Aiman | 52 |
| 24 | UCHIMA Kohei | 63 |
| 25 | NOVARDIANTO Jamalidin | 69 |
| 27 | ALIZADEH Hossein | 62 |
| 29 | WIJAYA Endra | 58 |