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 + 92
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GÁLVIZ Carlos Johan | 65 |
| 7 | CHACÓN José Isidro | 63 |
| 21 | MONSALVE Yonathan | 62 |
| 29 | OCHOA Carlos José | 62 |
| 41 | HULSMANS Kevin | 75 |
| 47 | GODOY Yonder | 64 |
| 49 | CÁRDENAS Félix Rafael | 59 |
| 56 | GIL MARTINEZ Tomas Aurelio | 60 |
| 62 | KERS Koos Jeroen | 71 |
| 74 | MERLO Michele | 63 |
| 80 | PUJOL Óscar | 58 |
| 83 | MILETTA Luigi | 63 |