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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÄRSTEN Moritz | 75 |
| 2 | KADLEC Milan | 61 |
| 4 | FAURE PROST Alexy | 67 |
| 8 | HAJEK Alexander | 55 |
| 9 | GEBHARDT Philipp | 75 |
| 10 | STIEGER Adrian | 68 |
| 11 | PLACE Maxence | 58 |
| 12 | ROLLAND Brieuc | 59 |
| 14 | MÅRD Filip | 68 |
| 15 | KONINGS Roan | 69 |