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 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHACHMANN Maximilian | 71 |
| 2 | ALMEIDA João | 63 |
| 3 | LIPOWITZ Florian | 68 |
| 4 | HAYTER Ethan | 70 |
| 5 | VLASOV Aleksandr | 68 |
| 6 | VAN WILDER Ilan | 64 |
| 7 | CAMPENAERTS Victor | 68 |
| 8 | SKJELMOSE Mattias | 65 |
| 9 | ARMIRAIL Bruno | 72 |
| 10 | LEONARD Michael | 60 |
| 11 | HEALY Ben | 65 |
| 12 | OLIVEIRA Nelson | 67 |
| 13 | SCHMID Mauro | 70 |
| 14 | CASTRILLO Pablo | 74 |
| 15 | DEL TORO Isaac | 64 |