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 = 1.8 * weight - 110
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Fondriest
1
70 kgBrożyna
3
65 kgVainšteins
4
72 kgWadecki
5
70 kgSpruch
7
68 kgOzers
8
73 kgBaranowski
9
68 kgPiątek
10
71 kgAxelsson
13
73 kgPiziks
15
70 kgRomanik
16
62 kgAndersson
22
71 kgRittsel
25
70 kgSchur
28
73 kgGontchenkov
34
74 kgSilovs
35
79 kgAndreu
39
77 kgThijs
42
69 kgFraser
43
71 kgLombardi
47
73 kg
1
70 kgBrożyna
3
65 kgVainšteins
4
72 kgWadecki
5
70 kgSpruch
7
68 kgOzers
8
73 kgBaranowski
9
68 kgPiątek
10
71 kgAxelsson
13
73 kgPiziks
15
70 kgRomanik
16
62 kgAndersson
22
71 kgRittsel
25
70 kgSchur
28
73 kgGontchenkov
34
74 kgSilovs
35
79 kgAndreu
39
77 kgThijs
42
69 kgFraser
43
71 kgLombardi
47
73 kg
Weight (KG) →
Result →
79
62
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 3 | BROŻYNA Tomasz | 65 |
| 4 | VAINŠTEINS Romāns | 72 |
| 5 | WADECKI Piotr | 70 |
| 7 | SPRUCH Zbigniew | 68 |
| 8 | OZERS Kaspars | 73 |
| 9 | BARANOWSKI Dariusz | 68 |
| 10 | PIĄTEK Zbigniew | 71 |
| 13 | AXELSSON Niklas | 73 |
| 15 | PIZIKS Arvis | 70 |
| 16 | ROMANIK Radosław | 62 |
| 22 | ANDERSSON Michael | 71 |
| 25 | RITTSEL Martin | 70 |
| 28 | SCHUR Jan | 73 |
| 34 | GONTCHENKOV Alexander | 74 |
| 35 | SILOVS Juris | 79 |
| 39 | ANDREU Frankie | 77 |
| 42 | THIJS Erwin | 69 |
| 43 | FRASER Gordon | 71 |
| 47 | LOMBARDI Giovanni | 73 |