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 = -0.5 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENNETT Sam | 73 |
| 2 | TRATNIK Jan | 67 |
| 3 | KOROŠEC Rok | 75 |
| 4 | FORTIN Filippo | 78 |
| 5 | ACKERMANN Pascal | 78 |
| 7 | BÁRTA Jan | 75 |
| 8 | BARBIN Enrico | 60 |
| 9 | MUGERLI Matej | 68 |
| 11 | VASYLYUK Andriy | 65 |
| 12 | HORVAT Žiga | 70 |
| 13 | AUER Daniel | 73 |
| 14 | SISR František | 72 |
| 15 | HIRT Jan | 62 |
| 17 | ANDRIATO Rafael | 67 |
| 18 | POLNICKÝ Jiří | 68 |
| 19 | STÖHR Ján | 72 |
| 20 | LEHNER Daniel | 63 |