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 = 0.1 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bogusławski
1
77 kgRäim
2
69 kgBabor
3
79 kgBeniušis
4
85 kgGibson
5
76 kgMurias
6
65 kgVahtra
8
85 kgNisu
9
84 kg
1
77 kgRäim
2
69 kgBabor
3
79 kgBeniušis
4
85 kgGibson
5
76 kgMurias
6
65 kgVahtra
8
85 kgNisu
9
84 kg
Weight (KG) →
Result →
85
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOGUSŁAWSKI Marceli | 77 |
| 2 | RÄIM Mihkel | 69 |
| 3 | BABOR Daniel | 79 |
| 4 | BENIUŠIS Justas | 85 |
| 5 | GIBSON Matthew | 76 |
| 6 | MURIAS Jakub | 65 |
| 8 | VAHTRA Norman | 85 |
| 9 | NISU Oskar | 84 |