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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Valter
1
65 kgSzalay
2
76 kgFetter
3
70 kgDina
4
67 kgKusztor
5
61 kgFilutás
7
68 kgSzarka
11
67 kg
1
65 kgSzalay
2
76 kgFetter
3
70 kgDina
4
67 kgKusztor
5
61 kgFilutás
7
68 kgSzarka
11
67 kg
Weight (KG) →
Result →
76
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALTER Attila | 65 |
| 2 | SZALAY Daniel | 76 |
| 3 | FETTER Erik | 70 |
| 4 | DINA Márton | 67 |
| 5 | KUSZTOR Péter | 61 |
| 7 | FILUTÁS Viktor | 68 |
| 11 | SZARKA Gergely | 67 |