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 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Jarc
1
87 kgHaller
2
72 kgRogina
5
70 kgMoberg Jørgensen
7
73 kgLander
8
70 kgKasa
9
72 kgMugerli
10
68 kgMarin
15
67 kgŠtimulak
17
64 kgMezgec
18
72 kgPolanc
19
62 kgPreidler
20
68 kgValgren
22
71 kgValjavec
26
59 kgVrečer
27
68 kgKvasina
29
72 kgHuber
34
70 kgGazvoda
40
72 kgGuldhammer
44
66 kgKonrad
60
64 kgSelig
75
80 kgRiška
78
73 kgVogel
81
66 kgBenčík
86
73 kg
1
87 kgHaller
2
72 kgRogina
5
70 kgMoberg Jørgensen
7
73 kgLander
8
70 kgKasa
9
72 kgMugerli
10
68 kgMarin
15
67 kgŠtimulak
17
64 kgMezgec
18
72 kgPolanc
19
62 kgPreidler
20
68 kgValgren
22
71 kgValjavec
26
59 kgVrečer
27
68 kgKvasina
29
72 kgHuber
34
70 kgGazvoda
40
72 kgGuldhammer
44
66 kgKonrad
60
64 kgSelig
75
80 kgRiška
78
73 kgVogel
81
66 kgBenčík
86
73 kg
Weight (KG) →
Result →
87
59
1
86
# | Rider | Weight (KG) |
---|---|---|
1 | JARC Blaž | 87 |
2 | HALLER Marco | 72 |
5 | ROGINA Radoslav | 70 |
7 | MOBERG JØRGENSEN Christian | 73 |
8 | LANDER Sebastian | 70 |
9 | KASA Gabor | 72 |
10 | MUGERLI Matej | 68 |
15 | MARIN Matej | 67 |
17 | ŠTIMULAK Klemen | 64 |
18 | MEZGEC Luka | 72 |
19 | POLANC Jan | 62 |
20 | PREIDLER Georg | 68 |
22 | VALGREN Michael | 71 |
26 | VALJAVEC Tadej | 59 |
27 | VREČER Robert | 68 |
29 | KVASINA Matija | 72 |
34 | HUBER Urs | 70 |
40 | GAZVODA Gregor | 72 |
44 | GULDHAMMER Rasmus | 66 |
60 | KONRAD Patrick | 64 |
75 | SELIG Rüdiger | 80 |
78 | RIŠKA Martin | 73 |
81 | VOGEL Florian | 66 |
86 | BENČÍK Petr | 73 |