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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van Schip
1
84 kgPapok
3
76 kgGroen
4
70.5 kgSayar
6
64 kgHristov
9
57 kgSergis
16
75 kgLašinis
17
69 kg
1
84 kgPapok
3
76 kgGroen
4
70.5 kgSayar
6
64 kgHristov
9
57 kgSergis
16
75 kgLašinis
17
69 kg
Weight (KG) →
Result →
84
57
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SCHIP Jan-Willem | 84 |
| 3 | PAPOK Siarhei | 76 |
| 4 | GROEN Ike | 70.5 |
| 6 | SAYAR Mustafa | 64 |
| 9 | HRISTOV Stefan Koychev | 57 |
| 16 | SERGIS Kaspars | 75 |
| 17 | LAŠINIS Venantas | 69 |