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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHACHMANN Maximilian | 71 |
| 2 | MARTÍNEZ Daniel Felipe | 63 |
| 3 | KWIATKOWSKI Michał | 68 |
| 4 | ALAPHILIPPE Julian | 62 |
| 5 | YATES Adam | 58 |
| 6 | KONRAD Patrick | 64 |
| 7 | IZAGIRRE Ion | 60 |
| 8 | MAS Enric | 61 |
| 9 | THOMAS Geraint | 71 |
| 10 | CARTHY Hugh | 69 |
| 11 | TEUNS Dylan | 64 |
| 12 | BILBAO Pello | 60 |
| 13 | CRADDOCK Lawson | 69 |
| 14 | MARTIN Dan | 59 |
| 15 | BUCHMANN Emanuel | 59 |