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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schoffmann
1
67 kgTybor
2
72 kgLovassy
3
71 kgKolář
10
90 kgNagy
16
52 kg
1
67 kgTybor
2
72 kgLovassy
3
71 kgKolář
10
90 kgNagy
16
52 kg
Weight (KG) →
Result →
90
52
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHOFFMANN Martin | 67 |
| 2 | TYBOR Patrik | 72 |
| 3 | LOVASSY Krisztián | 71 |
| 10 | KOLÁŘ Michael | 90 |
| 16 | NAGY Robert | 52 |