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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kump
1
68 kgGavazzi
2
70 kgWackermann
5
68 kgSavitskiy
6
72 kgPozzo
7
68 kgVasylyuk
10
65 kgTamouridis
11
70 kgVaubourzeix
12
70 kgRogina
13
70 kgAlizadeh
14
62 kgMarini
17
72 kgViola
19
69 kgBusato
21
67 kgBani
22
72 kgBertazzo
23
75 kgMugerli
25
68 kgMalaguti
27
67 kgAverin
28
74 kgTedeschi
29
69 kgLunardon
31
77 kgKogut
35
73 kgDebesay
37
64 kgPibernik
40
60 kg
1
68 kgGavazzi
2
70 kgWackermann
5
68 kgSavitskiy
6
72 kgPozzo
7
68 kgVasylyuk
10
65 kgTamouridis
11
70 kgVaubourzeix
12
70 kgRogina
13
70 kgAlizadeh
14
62 kgMarini
17
72 kgViola
19
69 kgBusato
21
67 kgBani
22
72 kgBertazzo
23
75 kgMugerli
25
68 kgMalaguti
27
67 kgAverin
28
74 kgTedeschi
29
69 kgLunardon
31
77 kgKogut
35
73 kgDebesay
37
64 kgPibernik
40
60 kg
Weight (KG) →
Result →
77
60
1
40
# | Rider | Weight (KG) |
---|---|---|
1 | KUMP Marko | 68 |
2 | GAVAZZI Mattia | 70 |
5 | WACKERMANN Luca | 68 |
6 | SAVITSKIY Ivan | 72 |
7 | POZZO Mattia | 68 |
10 | VASYLYUK Andriy | 65 |
11 | TAMOURIDIS Ioannis | 70 |
12 | VAUBOURZEIX Thomas | 70 |
13 | ROGINA Radoslav | 70 |
14 | ALIZADEH Hossein | 62 |
17 | MARINI Nicolas | 72 |
19 | VIOLA Antonio | 69 |
21 | BUSATO Matteo | 67 |
22 | BANI Eugenio | 72 |
23 | BERTAZZO Liam | 75 |
25 | MUGERLI Matej | 68 |
27 | MALAGUTI Alessandro | 67 |
28 | AVERIN Maksym | 74 |
29 | TEDESCHI Mirko | 69 |
31 | LUNARDON Paolo | 77 |
35 | KOGUT Volodymyr | 73 |
37 | DEBESAY Mekseb | 64 |
40 | PIBERNIK Luka | 60 |