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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERGET Mathieu | 64 |
| 2 | TANKINK Bram | 71 |
| 3 | GARATE Juan Manuel | 62 |
| 4 | RODRÍGUEZ Joaquim | 58 |
| 5 | HORNER Chris | 70 |
| 6 | ROVNY Ivan | 62 |
| 7 | SÁNCHEZ Samuel | 65 |
| 8 | VERDUGO Gorka | 71 |
| 9 | FUGLSANG Jakob | 67 |
| 10 | KLÖDEN Andreas | 63 |
| 11 | ARDILA Mauricio Alberto | 58 |
| 12 | VOIGT Jens | 76 |