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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Reutimann
1
71 kgBazhkou
2
65 kgThalmann
3
61 kgEikeland
5
68 kgStüssi
6
68 kgBaillifard
7
54 kgRekita
8
70 kg
1
71 kgBazhkou
2
65 kgThalmann
3
61 kgEikeland
5
68 kgStüssi
6
68 kgBaillifard
7
54 kgRekita
8
70 kg
Weight (KG) →
Result →
71
54
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUTIMANN Matthias | 71 |
| 2 | BAZHKOU Stanislau | 65 |
| 3 | THALMANN Roland | 61 |
| 5 | EIKELAND Ken Levi | 68 |
| 6 | STÜSSI Colin | 68 |
| 7 | BAILLIFARD Valentin | 54 |
| 8 | REKITA Szymon | 70 |