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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Riška
2
73 kgDvorščík
3
68 kgHrazdira
5
77 kgNagy
7
52 kgValach
11
75 kgDonati
16
71 kgLupaș
18
74 kgEl Nadi
19
74 kg
2
73 kgDvorščík
3
68 kgHrazdira
5
77 kgNagy
7
52 kgValach
11
75 kgDonati
16
71 kgLupaș
18
74 kgEl Nadi
19
74 kg
Weight (KG) →
Result →
77
52
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RIŠKA Martin | 73 |
| 3 | DVORŠČÍK Milan | 68 |
| 5 | HRAZDIRA Michal | 77 |
| 7 | NAGY Robert | 52 |
| 11 | VALACH Ján | 75 |
| 16 | DONATI Alessandro | 71 |
| 18 | LUPAȘ Pavel-Emil | 74 |
| 19 | EL NADI Amer | 74 |