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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÄRSTEN Moritz | 75 |
| 2 | GEBHARDT Philipp | 75 |
| 4 | HAJEK Alexander | 55 |
| 5 | KESS Alexandre | 70 |
| 7 | KERSCHBAUMER Leo | 68 |
| 8 | MRÁZ Daniel | 66 |
| 9 | BRENNSÆTER Trym | 66 |
| 12 | MÜLLER Tobias | 64 |
| 13 | PLACE Maxence | 58 |
| 14 | ROLLAND Brieuc | 59 |
| 15 | PURTSCHELLER Jakob | 75 |