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 = 0.3 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Saramotins
1
75 kgRogina
2
70 kgKvasina
3
72 kgKišerlovski
6
72 kgMahorič
7
68 kgRomanik
8
62 kgFirsanov
11
58 kgBroniš
15
74 kgHegreberg
23
72 kgTybor
32
72 kgKönig
37
62 kgJovanović
39
60 kgBajc
43
65 kgPorsev
48
80 kgSagan
52
65 kgMetlushenko
56
82 kgĐurasek
58
56 kgSapa
68
82 kg
1
75 kgRogina
2
70 kgKvasina
3
72 kgKišerlovski
6
72 kgMahorič
7
68 kgRomanik
8
62 kgFirsanov
11
58 kgBroniš
15
74 kgHegreberg
23
72 kgTybor
32
72 kgKönig
37
62 kgJovanović
39
60 kgBajc
43
65 kgPorsev
48
80 kgSagan
52
65 kgMetlushenko
56
82 kgĐurasek
58
56 kgSapa
68
82 kg
Weight (KG) →
Result →
82
56
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARAMOTINS Aleksejs | 75 |
| 2 | ROGINA Radoslav | 70 |
| 3 | KVASINA Matija | 72 |
| 6 | KIŠERLOVSKI Robert | 72 |
| 7 | MAHORIČ Mitja | 68 |
| 8 | ROMANIK Radosław | 62 |
| 11 | FIRSANOV Sergey | 58 |
| 15 | BRONIŠ Roman | 74 |
| 23 | HEGREBERG Morten | 72 |
| 32 | TYBOR Patrik | 72 |
| 37 | KÖNIG Leopold | 62 |
| 39 | JOVANOVIĆ Nebojša | 60 |
| 43 | BAJC Andi | 65 |
| 48 | PORSEV Alexander | 80 |
| 52 | SAGAN Juraj | 65 |
| 56 | METLUSHENKO Yuri | 82 |
| 58 | ĐURASEK Kristijan | 56 |
| 68 | SAPA Marcin | 82 |