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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Peák
1
74 kgDina
2
67 kgKusztor
5
61 kgLovassy
8
71 kgSzatmary
11
71 kgPápai
28
76 kgSzarka
29
67 kg
1
74 kgDina
2
67 kgKusztor
5
61 kgLovassy
8
71 kgSzatmary
11
71 kgPápai
28
76 kgSzarka
29
67 kg
Weight (KG) →
Result →
76
61
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEÁK Barnabás | 74 |
| 2 | DINA Márton | 67 |
| 5 | KUSZTOR Péter | 61 |
| 8 | LOVASSY Krisztián | 71 |
| 11 | SZATMARY Andras | 71 |
| 28 | PÁPAI Ádám | 76 |
| 29 | SZARKA Gergely | 67 |