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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Mazur
1
73 kgBodnar
2
68 kgRaboň
7
74 kgKvachuk
8
68 kgKostyuk
9
66 kgGiling
12
72 kgKohl
20
61 kgBina
25
72 kg
1
73 kgBodnar
2
68 kgRaboň
7
74 kgKvachuk
8
68 kgKostyuk
9
66 kgGiling
12
72 kgKohl
20
61 kgBina
25
72 kg
Weight (KG) →
Result →
74
61
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZUR Peter | 73 |
| 2 | BODNAR Łukasz | 68 |
| 7 | RABOŇ František | 74 |
| 8 | KVACHUK Oleksandr | 68 |
| 9 | KOSTYUK Denys | 66 |
| 12 | GILING Bas | 72 |
| 20 | KOHL Bernhard | 61 |
| 25 | BINA Martin | 72 |