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 + 18
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Petruš
1
58 kgPérichon
2
69 kgTeychenne
4
68 kgNovikov
5
77 kgBagot
6
65 kgClaeys
7
77 kgPieters
10
73 kgSaggiorato
11
58 kgBrun
13
73 kgKritskiy
16
81 kgBérard
19
70 kgLindeman
23
69 kgOckeloen
24
66 kgAernouts
25
63 kgSolomennikov
28
72 kgRossetto
29
68 kgGastauer
31
73 kgIgnatenko
32
63 kgMolard
34
62 kgKreder
36
67 kgZangerle
37
63 kgKreder
41
71 kgŠiškevičius
42
80 kg
1
58 kgPérichon
2
69 kgTeychenne
4
68 kgNovikov
5
77 kgBagot
6
65 kgClaeys
7
77 kgPieters
10
73 kgSaggiorato
11
58 kgBrun
13
73 kgKritskiy
16
81 kgBérard
19
70 kgLindeman
23
69 kgOckeloen
24
66 kgAernouts
25
63 kgSolomennikov
28
72 kgRossetto
29
68 kgGastauer
31
73 kgIgnatenko
32
63 kgMolard
34
62 kgKreder
36
67 kgZangerle
37
63 kgKreder
41
71 kgŠiškevičius
42
80 kg
Weight (KG) →
Result →
81
58
1
42
# | Rider | Weight (KG) |
---|---|---|
1 | PETRUŠ Lubomir | 58 |
2 | PÉRICHON Pierre-Luc | 69 |
4 | TEYCHENNE Mathieu | 68 |
5 | NOVIKOV Nikita | 77 |
6 | BAGOT Yoann | 65 |
7 | CLAEYS Dimitri | 77 |
10 | PIETERS Sibrecht | 73 |
11 | SAGGIORATO Mirco | 58 |
13 | BRUN Frederic | 73 |
16 | KRITSKIY Timofey | 81 |
19 | BÉRARD Julien | 70 |
23 | LINDEMAN Bert-Jan | 69 |
24 | OCKELOEN Jasper | 66 |
25 | AERNOUTS Jim | 63 |
28 | SOLOMENNIKOV Andrei | 72 |
29 | ROSSETTO Stéphane | 68 |
31 | GASTAUER Ben | 73 |
32 | IGNATENKO Petr | 63 |
34 | MOLARD Rudy | 62 |
36 | KREDER Michel | 67 |
37 | ZANGERLE Joel | 63 |
41 | KREDER Wesley | 71 |
42 | ŠIŠKEVIČIUS Evaldas | 80 |