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 = 0.3 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Velits
1
63 kgBelkov
2
71 kgVelits
4
70 kgŠtybar
5
68 kgCieślik
9
65 kgWestphal
10
75 kg
1
63 kgBelkov
2
71 kgVelits
4
70 kgŠtybar
5
68 kgCieślik
9
65 kgWestphal
10
75 kg
Weight (KG) →
Result →
75
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 2 | BELKOV Maxim | 71 |
| 4 | VELITS Martin | 70 |
| 5 | ŠTYBAR Zdeněk | 68 |
| 9 | CIEŚLIK Paweł | 65 |
| 10 | WESTPHAL Carlo | 75 |