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 = 0.8 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGUST Andrew | 57 |
| 2 | ŠUMPÍK Pavel | 63 |
| 3 | VAN DER WERFF Thom | 60 |
| 9 | MULDER Martijn | 64 |
| 14 | DERKSEN Jente | 69 |
| 16 | SCHEITINGER Linus | 77 |
| 19 | HRDLIČKA Adam | 65 |
| 21 | BÁRTA Martin | 67 |
| 22 | FIETZKE Paul | 60 |
| 25 | VLOT Mees | 57 |
| 39 | QUINT Antoine | 75 |
| 44 | STOKES Ben | 68 |
| 45 | PARHAM Darren | 68 |
| 47 | BOCK Max | 53 |
| 59 | SOUKUP Vojtěch | 71 |
| 65 | PEŠEK Adam | 67 |