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 = -1.9 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRIGUEZ José Luis | 75 |
| 3 | PANIZO Gregolry | 72 |
| 5 | AFFONSO Murilo | 63 |
| 6 | BULGARELLI Otavio | 69 |
| 24 | ALMONACID Patricio | 60 |
| 29 | SEPULVEDA Luis Fernando | 66 |
| 36 | RAMOS Kléber | 65 |
| 44 | GÁLVIZ Carlos Johan | 65 |