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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TACIAK Mateusz | 68 |
| 2 | BUTS Vitaliy | 68 |
| 3 | VASYLYUK Andriy | 65 |
| 4 | BELDA David | 53 |
| 5 | MIHAYLOV Nikolay | 70 |
| 7 | GOESINNEN Floris | 75 |
| 9 | HONKISZ Adrian | 61 |
| 10 | LAPTHORNE Darren | 70 |
| 11 | BUTLER Chris | 61 |
| 13 | PREMONT Christophe | 69 |
| 15 | MATYSIAK Bartłomiej | 71 |