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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
den Hertog
1
76 kgOvion
2
64 kgThalmann
3
75 kgHáva
8
62 kgHuelamo
9
61 kgHubschmid
10
74 kg
1
76 kgOvion
2
64 kgThalmann
3
75 kgHáva
8
62 kgHuelamo
9
61 kgHubschmid
10
74 kg
Weight (KG) →
Result →
76
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEN HERTOG Fedor | 76 |
| 2 | OVION Régis | 64 |
| 3 | THALMANN Robert | 75 |
| 8 | HÁVA Jiří | 62 |
| 9 | HUELAMO Jaime | 61 |
| 10 | HUBSCHMID Bruno | 74 |