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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Laib
1
80 kgPer
3
68 kgČerný
4
75 kgRahbek
6
66 kgKukrle
9
73 kgMonier
10
75 kgKurianov
11
74 kgKustadinchev
12
66 kg
1
80 kgPer
3
68 kgČerný
4
75 kgRahbek
6
66 kgKukrle
9
73 kgMonier
10
75 kgKurianov
11
74 kgKustadinchev
12
66 kg
Weight (KG) →
Result →
80
66
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAIB Simon | 80 |
| 3 | PER Gorazd | 68 |
| 4 | ČERNÝ Josef | 75 |
| 6 | RAHBEK Mads | 66 |
| 9 | KUKRLE Michael | 73 |
| 10 | MONIER Damien | 75 |
| 11 | KURIANOV Stepan | 74 |
| 12 | KUSTADINCHEV Roman | 66 |