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 = -0.7 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Bárta
2
75 kgBenetseder
3
65 kgKrizek
4
74 kgEibegger
11
68 kgKusztor
14
61 kgTrampusch
21
60 kgRiška
22
73 kgWurf
23
71 kgPichler
24
70 kgNagy
29
52 kgSchoffmann
33
67 kgPöll
37
60 kgDenifl
40
65 kgMarin
41
67 kgRohregger
44
63 kgĐurasek
48
56 kgKadlec
49
70 kgGraf
53
72 kgSzeghalmi
63
66 kg
2
75 kgBenetseder
3
65 kgKrizek
4
74 kgEibegger
11
68 kgKusztor
14
61 kgTrampusch
21
60 kgRiška
22
73 kgWurf
23
71 kgPichler
24
70 kgNagy
29
52 kgSchoffmann
33
67 kgPöll
37
60 kgDenifl
40
65 kgMarin
41
67 kgRohregger
44
63 kgĐurasek
48
56 kgKadlec
49
70 kgGraf
53
72 kgSzeghalmi
63
66 kg
Weight (KG) →
Result →
75
52
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BÁRTA Jan | 75 |
| 3 | BENETSEDER Josef | 65 |
| 4 | KRIZEK Matthias | 74 |
| 11 | EIBEGGER Markus | 68 |
| 14 | KUSZTOR Péter | 61 |
| 21 | TRAMPUSCH Gerhard | 60 |
| 22 | RIŠKA Martin | 73 |
| 23 | WURF Cameron | 71 |
| 24 | PICHLER Michael | 70 |
| 29 | NAGY Robert | 52 |
| 33 | SCHOFFMANN Martin | 67 |
| 37 | PÖLL Stefan | 60 |
| 40 | DENIFL Stefan | 65 |
| 41 | MARIN Matej | 67 |
| 44 | ROHREGGER Thomas | 63 |
| 48 | ĐURASEK Kristijan | 56 |
| 49 | KADLEC Milan | 70 |
| 53 | GRAF Andreas | 72 |
| 63 | SZEGHALMI Balint | 66 |