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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Devenyns
1
65 kgTerpstra
3
75 kgJeandesboz
4
69 kgŠtybar
6
68 kgKangert
10
65 kg
1
65 kgTerpstra
3
75 kgJeandesboz
4
69 kgŠtybar
6
68 kgKangert
10
65 kg
Weight (KG) →
Result →
75
65
1
10
# | Rider | Weight (KG) |
---|---|---|
1 | DEVENYNS Dries | 65 |
3 | TERPSTRA Niki | 75 |
4 | JEANDESBOZ Fabrice | 69 |
6 | ŠTYBAR Zdeněk | 68 |
10 | KANGERT Tanel | 65 |