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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOESINNEN Floris | 75 |
| 2 | BAK Lars Ytting | 76 |
| 3 | TANKINK Bram | 71 |
| 4 | HOSTE Leif | 80 |
| 5 | WYNANTS Maarten | 74 |
| 6 | GREIPEL André | 80 |
| 7 | MARCATO Marco | 67 |
| 8 | SELVAGGI Mirko | 73 |
| 9 | DEROO David | 61 |
| 10 | LUND Anders | 65 |
| 11 | DA DALTO Mauro | 72 |
| 12 | DE GROOT Bram | 65 |