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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VISCONTI Giovanni | 63 |
| 2 | STRGAR Matic | 62 |
| 3 | BANDIERA Marco | 68 |
| 4 | JANIACZYK Błażej | 68 |
| 8 | KOCJAN Jure | 72 |
| 16 | BENETSEDER Josef | 65 |
| 19 | BRAJKOVIČ Janez | 60 |
| 23 | JOVANOVIĆ Nebojša | 60 |
| 26 | CLARKE Jonathan | 68 |
| 28 | GRIVKO Andrey | 70 |
| 30 | BOLE Grega | 69 |
| 36 | CANTWELL Jonathan | 69 |