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 * weight - 36
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Kuschynski
1
65 kgGadret
4
58 kgMondory
6
66 kgDion
10
65 kgKairelis
12
63 kgRiblon
13
65 kgEichler
17
78 kgBuffaz
18
64 kgPasseron
21
73 kgDrujon
22
75 kgBonsergent
23
66 kgHeijboer
26
78 kgBarthe
28
65 kgVanthourenhout
30
65 kgDuret
31
62 kgJérôme
36
65 kgZonneveld
40
63 kgNys
45
73 kgKaisen
50
82 kgUsov
53
63 kgVervecken
58
78 kgVerstraeten
62
65 kgBlot
67
71 kg
1
65 kgGadret
4
58 kgMondory
6
66 kgDion
10
65 kgKairelis
12
63 kgRiblon
13
65 kgEichler
17
78 kgBuffaz
18
64 kgPasseron
21
73 kgDrujon
22
75 kgBonsergent
23
66 kgHeijboer
26
78 kgBarthe
28
65 kgVanthourenhout
30
65 kgDuret
31
62 kgJérôme
36
65 kgZonneveld
40
63 kgNys
45
73 kgKaisen
50
82 kgUsov
53
63 kgVervecken
58
78 kgVerstraeten
62
65 kgBlot
67
71 kg
Weight (KG) →
Result →
82
58
1
67
# | Rider | Weight (KG) |
---|---|---|
1 | KUSCHYNSKI Aleksandr | 65 |
4 | GADRET John | 58 |
6 | MONDORY Lloyd | 66 |
10 | DION Renaud | 65 |
12 | KAIRELIS Dainius | 63 |
13 | RIBLON Christophe | 65 |
17 | EICHLER Markus | 78 |
18 | BUFFAZ Mickaël | 64 |
21 | PASSERON Aurélien | 73 |
22 | DRUJON Mathieu | 75 |
23 | BONSERGENT Stéphane | 66 |
26 | HEIJBOER Mathieu | 78 |
28 | BARTHE Stéphane | 65 |
30 | VANTHOURENHOUT Sven | 65 |
31 | DURET Sébastien | 62 |
36 | JÉRÔME Vincent | 65 |
40 | ZONNEVELD Thijs | 63 |
45 | NYS Sven | 73 |
50 | KAISEN Olivier | 82 |
53 | USOV Alexandre | 63 |
58 | VERVECKEN Erwin | 78 |
62 | VERSTRAETEN Jan | 65 |
67 | BLOT Guillaume | 71 |