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 + 100
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Hegreberg
6
72 kgRogina
9
70 kgKišerlovski
10
72 kgKvasina
11
72 kgMahorič
12
68 kgKump
14
68 kgSaramotins
15
75 kgPorsev
16
80 kgMetlushenko
17
82 kgMironov
25
68 kgShilov
29
67 kgĐurasek
32
56 kgTomić
37
79 kgFirsanov
39
58 kgJovanović
55
60 kgTybor
65
72 kgBajc
66
65 kgRomanik
81
62 kgLagkuti
83
68 kgBroniš
84
74 kgSapa
85
82 kgSagan
86
65 kgKomar
90
73 kgKönig
92
62 kg
6
72 kgRogina
9
70 kgKišerlovski
10
72 kgKvasina
11
72 kgMahorič
12
68 kgKump
14
68 kgSaramotins
15
75 kgPorsev
16
80 kgMetlushenko
17
82 kgMironov
25
68 kgShilov
29
67 kgĐurasek
32
56 kgTomić
37
79 kgFirsanov
39
58 kgJovanović
55
60 kgTybor
65
72 kgBajc
66
65 kgRomanik
81
62 kgLagkuti
83
68 kgBroniš
84
74 kgSapa
85
82 kgSagan
86
65 kgKomar
90
73 kgKönig
92
62 kg
Weight (KG) →
Result →
82
56
6
92
# | Rider | Weight (KG) |
---|---|---|
6 | HEGREBERG Morten | 72 |
9 | ROGINA Radoslav | 70 |
10 | KIŠERLOVSKI Robert | 72 |
11 | KVASINA Matija | 72 |
12 | MAHORIČ Mitja | 68 |
14 | KUMP Marko | 68 |
15 | SARAMOTINS Aleksejs | 75 |
16 | PORSEV Alexander | 80 |
17 | METLUSHENKO Yuri | 82 |
25 | MIRONOV Alexander | 68 |
29 | SHILOV Sergey | 67 |
32 | ĐURASEK Kristijan | 56 |
37 | TOMIĆ Marko | 79 |
39 | FIRSANOV Sergey | 58 |
55 | JOVANOVIĆ Nebojša | 60 |
65 | TYBOR Patrik | 72 |
66 | BAJC Andi | 65 |
81 | ROMANIK Radosław | 62 |
83 | LAGKUTI Sergiy | 68 |
84 | BRONIŠ Roman | 74 |
85 | SAPA Marcin | 82 |
86 | SAGAN Juraj | 65 |
90 | KOMAR Mateusz | 73 |
92 | KÖNIG Leopold | 62 |