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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUDVIGSSON Fredrik | 71 |
| 2 | CALMEJANE Lilian | 70 |
| 3 | HERKLOTZ Silvio | 68 |
| 4 | GROßSCHARTNER Felix | 64 |
| 5 | POWER Robert | 68 |
| 7 | ARSLANOV Ildar | 63 |
| 8 | FOLIFOROV Alexander | 61 |
| 9 | VERVAEKE Louis | 68 |
| 10 | DOUBEY Fabien | 62 |
| 11 | GUERIN Alexis | 64 |
| 13 | EIKING Odd Christian | 75 |
| 14 | DELTOMBE Kevin | 66 |