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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rogina
4
70 kgNagy
7
52 kgTybor
13
72 kgSzeghalmi
16
66 kgĐurasek
17
56 kgLovassy
32
71 kgGil Martinez
51
60 kg
4
70 kgNagy
7
52 kgTybor
13
72 kgSzeghalmi
16
66 kgĐurasek
17
56 kgLovassy
32
71 kgGil Martinez
51
60 kg
Weight (KG) →
Result →
72
52
4
51
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROGINA Radoslav | 70 |
| 7 | NAGY Robert | 52 |
| 13 | TYBOR Patrik | 72 |
| 16 | SZEGHALMI Balint | 66 |
| 17 | ĐURASEK Kristijan | 56 |
| 32 | LOVASSY Krisztián | 71 |
| 51 | GIL MARTINEZ Tomas Aurelio | 60 |