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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LIE Arnaud | 78 |
| 2 | PEDERSEN Mads | 76 |
| 3 | COSNEFROY Benoît | 65 |
| 4 | TEUNS Dylan | 64 |
| 5 | PICCOLO Andrea | 64 |
| 6 | SKJELMOSE Mattias | 65 |
| 7 | POWLESS Neilson | 67 |
| 8 | VAN POUCKE Aaron | 68 |
| 9 | MIQUEL Pau | 65 |
| 11 | WATSON Samuel | 68 |
| 12 | TULETT Ben | 56 |
| 14 | LATOUR Pierre | 66 |
| 15 | BERCKMOES Jenno | 61 |