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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Schmidt
1
73 kgJohansen
4
78 kgMurn
6
70 kgAuger
8
78 kgRasch
9
72 kgŠtangelj
10
70 kg
1
73 kgJohansen
4
78 kgMurn
6
70 kgAuger
8
78 kgRasch
9
72 kgŠtangelj
10
70 kg
Weight (KG) →
Result →
78
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMIDT Torsten | 73 |
| 4 | JOHANSEN Allan | 78 |
| 6 | MURN Uroš | 70 |
| 8 | AUGER Guillaume | 78 |
| 9 | RASCH Gabriel | 72 |
| 10 | ŠTANGELJ Gorazd | 70 |