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 = -1.2 * weight + 101
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Schnaidt
1
70 kgMatzka
2
69 kgSelig
3
80 kgArndt
8
77.5 kgReinhardt
9
72 kgMeisen
28
62 kgKoch
33
69 kg
1
70 kgMatzka
2
69 kgSelig
3
80 kgArndt
8
77.5 kgReinhardt
9
72 kgMeisen
28
62 kgKoch
33
69 kg
Weight (KG) →
Result →
80
62
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHNAIDT Fabian | 70 |
| 2 | MATZKA Ralf | 69 |
| 3 | SELIG Rüdiger | 80 |
| 8 | ARNDT Nikias | 77.5 |
| 9 | REINHARDT Theo | 72 |
| 28 | MEISEN Marcel | 62 |
| 33 | KOCH Michel | 69 |