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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Jakin
1
71 kgJõeäär
2
84 kgNisu
5
84 kgRäim
6
69 kgTaaramäe
8
73 kgLaas
10
76 kgNõmmela
11
69 kgPruus
12
71 kg
1
71 kgJõeäär
2
84 kgNisu
5
84 kgRäim
6
69 kgTaaramäe
8
73 kgLaas
10
76 kgNõmmela
11
69 kgPruus
12
71 kg
Weight (KG) →
Result →
84
69
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKIN Alo | 71 |
| 2 | JÕEÄÄR Gert | 84 |
| 5 | NISU Oskar | 84 |
| 6 | RÄIM Mihkel | 69 |
| 8 | TAARAMÄE Rein | 73 |
| 10 | LAAS Martin | 76 |
| 11 | NÕMMELA Aksel | 69 |
| 12 | PRUUS Peeter | 71 |