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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WELLENS Tim | 71 |
| 2 | FUGLSANG Jakob | 67 |
| 3 | IZAGIRRE Ion | 60 |
| 4 | HAIG Jack | 67 |
| 5 | KRUIJSWIJK Steven | 63 |
| 6 | BILBAO Pello | 60 |
| 7 | VLASOV Aleksandr | 68 |
| 8 | TOLHOEK Antwan | 61 |
| 9 | MARTIN Guillaume | 55 |
| 10 | MOHORIČ Matej | 71 |
| 11 | HIGUITA Sergio | 57 |
| 12 | VALLS Rafael | 64 |
| 13 | PASQUALON Andrea | 75 |
| 14 | VERONA Carlos | 68 |