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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LAMBRECHT Michiel | 75 |
| 4 | VANDENSTORME Dylan | 64 |
| 5 | SIMMONS Colby | 68 |
| 6 | EDDY Patrick | 79 |
| 8 | EPIS Giosuè | 64 |
| 9 | DELLE VEDOVE Alessio | 73 |
| 11 | JANSSEN Lucas | 67 |
| 12 | OMLOOP Mats | 70 |
| 13 | VANDENBRANDEN Noah | 74 |
| 14 | ABMA Elmar | 86 |
| 16 | THEILER Ole | 75 |
| 17 | URY Noé | 68 |
| 18 | BRONSWIJK Mike | 60 |
| 24 | VAN DORP Vincent | 76 |
| 26 | DUBA Maxime | 85 |
| 27 | PEACE Oliver | 64 |
| 28 | RAGILO Frank Aron | 70 |