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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 2 | PRADES Benjamín | 56 |
| 3 | REBELLIN Davide | 63 |
| 4 | GARCÍA Ricardo | 68 |
| 6 | CRAWFORD Jai | 59 |
| 7 | LEBAS Thomas | 65 |
| 8 | GALEDO Mark John Lexer | 58 |
| 12 | CHOE Hyeong Min | 63 |
| 13 | GARCIA Marcos | 55 |
| 17 | MAT AMIN Mohd Shahrul | 54 |
| 21 | NIETO Edgar | 58 |
| 24 | ABERASTURI Jon | 69 |
| 26 | CULEY Marcus | 69 |
| 27 | VOLKERS Samuel | 67 |
| 28 | TOKUDA Suguru | 65 |