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 - 28
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Earle
1
70 kgEyob
3
61 kgvan Engelen
4
51 kgKoishi
5
62 kgFelipe
6
58 kgKipkemboi
7
63 kgChaiyasombat
8
58 kgBanaszek
11
75 kgAzman
12
57 kgKaczmarek
13
66 kgMonk
14
67 kgTzortzakis
15
80 kgKreder
16
70 kgMohd Zariff
18
63 kgAhmad
20
66 kgMat Amin
21
54 kgCarstensen
24
69 kgJones
25
75 kgSirironnachai
26
61 kgMazuki
27
57 kgCariño
29
56 kgHoller
31
58 kgCelano
32
65 kgNaser
33
62 kgZulkifli
34
65 kgPawlak
35
81 kgDyball
40
63 kgZakaria
41
59 kgLiphongyu
46
61 kgChawchiangkwang
48
64 kgPareja
53
52 kgGaledo
54
58 kgBogdanovičs
55
68 kgBanaszek
57
75 kgLakasek
58
71 kgTigrine
62
61 kgYeo
64
80 kgBurnett
69
71 kgVolkers
72
67 kgSaleh
73
70 kgBogusławski
76
77 kgBanaszek
77
79 kgPahlke
80
71 kgIshibashi
81
68 kgMisbah
82
56 kgBoonratanathanakorn
85
72 kg
1
70 kgEyob
3
61 kgvan Engelen
4
51 kgKoishi
5
62 kgFelipe
6
58 kgKipkemboi
7
63 kgChaiyasombat
8
58 kgBanaszek
11
75 kgAzman
12
57 kgKaczmarek
13
66 kgMonk
14
67 kgTzortzakis
15
80 kgKreder
16
70 kgMohd Zariff
18
63 kgAhmad
20
66 kgMat Amin
21
54 kgCarstensen
24
69 kgJones
25
75 kgSirironnachai
26
61 kgMazuki
27
57 kgCariño
29
56 kgHoller
31
58 kgCelano
32
65 kgNaser
33
62 kgZulkifli
34
65 kgPawlak
35
81 kgDyball
40
63 kgZakaria
41
59 kgLiphongyu
46
61 kgChawchiangkwang
48
64 kgPareja
53
52 kgGaledo
54
58 kgBogdanovičs
55
68 kgBanaszek
57
75 kgLakasek
58
71 kgTigrine
62
61 kgYeo
64
80 kgBurnett
69
71 kgVolkers
72
67 kgSaleh
73
70 kgBogusławski
76
77 kgBanaszek
77
79 kgPahlke
80
71 kgIshibashi
81
68 kgMisbah
82
56 kgBoonratanathanakorn
85
72 kg
Weight (KG) →
Result →
81
51
1
85