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 = 0.9 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Mattheis
1
65 kgRikunov
2
71 kgDe Rossi
3
70 kgDorn
4
74 kgLucca
9
71 kgSmit
11
72 kgSzóstka
13
63 kgLi
14
68 kgMusialik
18
63 kgAguirre
22
55 kgBogdanovičs
24
68 kgIderbold
27
58 kgWeulink
28
62 kgKim
29
68 kgSierra
33
66 kgYun
34
69 kgHo
35
63 kgMaikin
36
68 kgTeese
37
58 kgTeese
39
59 kgGasparini
40
57 kgSafarzadeh
43
66 kgLee
48
59 kgLane Welsh
50
70 kgJung
51
62 kgŞampiyonbisiklet
55
70 kgMonk
58
67 kgGainza
60
65 kgGrosu
64
68 kgPita
68
67 kgScott
74
80 kgWiśniewski
77
68 kgKarpenko
78
77 kgRostovtsev
79
73 kgFeng
81
68 kgLaas
83
76 kgVahtra
84
85 kgEefting-Bloem
85
75 kgNisu
87
84 kgGoldstein
90
61 kgBeaumont
91
58 kgQuang
92
70 kgMulagaleyev
99
65 kgAliyev
101
67 kgSirironnachai
103
61 kgTsoodol
110
58 kgVelia
122
74 kg
1
65 kgRikunov
2
71 kgDe Rossi
3
70 kgDorn
4
74 kgLucca
9
71 kgSmit
11
72 kgSzóstka
13
63 kgLi
14
68 kgMusialik
18
63 kgAguirre
22
55 kgBogdanovičs
24
68 kgIderbold
27
58 kgWeulink
28
62 kgKim
29
68 kgSierra
33
66 kgYun
34
69 kgHo
35
63 kgMaikin
36
68 kgTeese
37
58 kgTeese
39
59 kgGasparini
40
57 kgSafarzadeh
43
66 kgLee
48
59 kgLane Welsh
50
70 kgJung
51
62 kgŞampiyonbisiklet
55
70 kgMonk
58
67 kgGainza
60
65 kgGrosu
64
68 kgPita
68
67 kgScott
74
80 kgWiśniewski
77
68 kgKarpenko
78
77 kgRostovtsev
79
73 kgFeng
81
68 kgLaas
83
76 kgVahtra
84
85 kgEefting-Bloem
85
75 kgNisu
87
84 kgGoldstein
90
61 kgBeaumont
91
58 kgQuang
92
70 kgMulagaleyev
99
65 kgAliyev
101
67 kgSirironnachai
103
61 kgTsoodol
110
58 kgVelia
122
74 kg
Weight (KG) →
Result →
85
55
1
122
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTHEIS Oliver | 65 |
| 2 | RIKUNOV Petr | 71 |
| 3 | DE ROSSI Lucas | 70 |
| 4 | DORN Vinzent | 74 |
| 9 | LUCCA Simone | 71 |
| 11 | SMIT Willie | 72 |
| 13 | SZÓSTKA Paweł | 63 |
| 14 | LI Ting Wei | 68 |
| 18 | MUSIALIK Jakub | 63 |
| 22 | AGUIRRE Hernán Ricardo | 55 |
| 24 | BOGDANOVIČS Māris | 68 |
| 27 | IDERBOLD Bold | 58 |
| 28 | WEULINK Meindert | 62 |
| 29 | KIM Euro | 68 |
| 33 | SIERRA Yecid Arturo | 66 |
| 34 | YUN Jaebin | 69 |
| 35 | HO Yen Yi | 63 |
| 36 | MAIKIN Roman | 68 |
| 37 | TEESE Ronan | 58 |
| 39 | TEESE Aidan | 59 |
| 40 | GASPARINI Alessio | 57 |
| 43 | SAFARZADEH Saeid | 66 |
| 48 | LEE Chin Long | 59 |
| 50 | LANE WELSH Tali | 70 |
| 51 | JUNG Woo-Ho | 62 |
| 55 | ŞAMPIYONBISIKLET Mehmet | 70 |
| 58 | MONK Cyrus | 67 |
| 60 | GAINZA Alejandro | 65 |
| 64 | GROSU Eduard-Michael | 68 |
| 68 | PITA Cristian David | 67 |
| 74 | SCOTT Cameron | 80 |
| 77 | WIŚNIEWSKI Szymon | 68 |
| 78 | KARPENKO Gleb | 77 |
| 79 | ROSTOVTSEV Sergey | 73 |
| 81 | FENG Chun Kai | 68 |
| 83 | LAAS Martin | 76 |
| 84 | VAHTRA Norman | 85 |
| 85 | EEFTING-BLOEM Roy | 75 |
| 87 | NISU Oskar | 84 |
| 90 | GOLDSTEIN Omer | 61 |
| 91 | BEAUMONT Cameron | 58 |
| 92 | QUANG Van Cuong | 70 |
| 99 | MULAGALEYEV Vladimir | 65 |
| 101 | ALIYEV Ruslan | 67 |
| 103 | SIRIRONNACHAI Sarawut | 61 |
| 110 | TSOODOL Enkhpurev | 58 |
| 122 | VELIA Olsian | 74 |