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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Rogina
3
70 kgVrečer
4
68 kgMugerli
5
68 kgBenčík
7
73 kgMarin
9
67 kgEibegger
11
68 kgBenetseder
12
65 kgHoffmann
13
65 kgCapelli
15
78 kgHrinkow
16
61 kgPaďour
20
59 kgKvasina
21
72 kgHollenstein
32
80 kgSchoffmann
37
67 kgGraf
39
72 kgBichlmann
44
72 kgRiška
48
73 kg
3
70 kgVrečer
4
68 kgMugerli
5
68 kgBenčík
7
73 kgMarin
9
67 kgEibegger
11
68 kgBenetseder
12
65 kgHoffmann
13
65 kgCapelli
15
78 kgHrinkow
16
61 kgPaďour
20
59 kgKvasina
21
72 kgHollenstein
32
80 kgSchoffmann
37
67 kgGraf
39
72 kgBichlmann
44
72 kgRiška
48
73 kg
Weight (KG) →
Result →
80
59
3
48
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROGINA Radoslav | 70 |
| 4 | VREČER Robert | 68 |
| 5 | MUGERLI Matej | 68 |
| 7 | BENČÍK Petr | 73 |
| 9 | MARIN Matej | 67 |
| 11 | EIBEGGER Markus | 68 |
| 12 | BENETSEDER Josef | 65 |
| 13 | HOFFMANN Erik | 65 |
| 15 | CAPELLI Ermano | 78 |
| 16 | HRINKOW Dominik | 61 |
| 20 | PAĎOUR František | 59 |
| 21 | KVASINA Matija | 72 |
| 32 | HOLLENSTEIN Reto | 80 |
| 37 | SCHOFFMANN Martin | 67 |
| 39 | GRAF Andreas | 72 |
| 44 | BICHLMANN Daniel | 72 |
| 48 | RIŠKA Martin | 73 |