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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Fedenko
4
69 kgMurn
5
70 kgSchnider
6
65 kgBuxhofer
8
70 kgTrampusch
10
60 kgBonča
12
63 kg
4
69 kgMurn
5
70 kgSchnider
6
65 kgBuxhofer
8
70 kgTrampusch
10
60 kgBonča
12
63 kg
Weight (KG) →
Result →
70
60
4
12
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FEDENKO Oleksandr | 69 |
| 5 | MURN Uroš | 70 |
| 6 | SCHNIDER Daniel | 65 |
| 8 | BUXHOFER Matthias | 70 |
| 10 | TRAMPUSCH Gerhard | 60 |
| 12 | BONČA Valter | 63 |