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 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÜHRS Leslie | 83 |
| 2 | BITTNER Pavel | 73 |
| 3 | BRENNER Marco | 59 |
| 4 | PONOMAR Andrii | 65 |
| 7 | VACEK Mathias | 75 |
| 10 | WILKSCH Hannes | 62 |
| 12 | OELKE Tim | 78 |
| 13 | GUDMESTAD Tord | 82 |
| 14 | ASKEY Lewis | 75 |
| 15 | VERRE Alessandro | 59 |
| 18 | STEINHAUSER Georg | 65 |
| 19 | MURN Boštjan | 77 |
| 20 | BALLERSTEDT Maurice | 76 |
| 22 | WATSON Samuel | 68 |
| 24 | GÓRAK Dominik | 72 |