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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Montgomery
2
62 kgTrampusch
4
60 kgMurn
5
70 kgBuxhofer
7
70 kgBonča
10
63 kg
2
62 kgTrampusch
4
60 kgMurn
5
70 kgBuxhofer
7
70 kgBonča
10
63 kg
Weight (KG) →
Result →
70
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONTGOMERY Sven | 62 |
| 4 | TRAMPUSCH Gerhard | 60 |
| 5 | MURN Uroš | 70 |
| 7 | BUXHOFER Matthias | 70 |
| 10 | BONČA Valter | 63 |