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:
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Kruopis
1
80 kgViganò
2
67 kgMalucelli
5
68 kgde Man
6
68 kgGate
11
71 kgTizza
14
58 kgGesbert
16
63 kgEdmondson
17
62 kgLaverack
26
62 kgBenetseder
28
65 kgJourniaux
29
63 kgPettiti
30
71 kgMullen
34
77 kgPöstlberger
36
70 kgIrvine
37
80 kgMackinnon
38
75 kgHolmes
42
67 kgKergozou De La Boessiere
49
74 kgSleurs
58
68 kgSchönberger
63
64 kgDunne
78
88 kgMudgway
81
65 kgBenhamouda
92
64 kg
1
80 kgViganò
2
67 kgMalucelli
5
68 kgde Man
6
68 kgGate
11
71 kgTizza
14
58 kgGesbert
16
63 kgEdmondson
17
62 kgLaverack
26
62 kgBenetseder
28
65 kgJourniaux
29
63 kgPettiti
30
71 kgMullen
34
77 kgPöstlberger
36
70 kgIrvine
37
80 kgMackinnon
38
75 kgHolmes
42
67 kgKergozou De La Boessiere
49
74 kgSleurs
58
68 kgSchönberger
63
64 kgDunne
78
88 kgMudgway
81
65 kgBenhamouda
92
64 kg
Weight (KG) →
Result →
88
58
1
92
# | Rider | Weight (KG) |
---|---|---|
1 | KRUOPIS Aidis | 80 |
2 | VIGANÒ Davide | 67 |
5 | MALUCELLI Matteo | 68 |
6 | DE MAN Jaap | 68 |
11 | GATE Aaron | 71 |
14 | TIZZA Marco | 58 |
16 | GESBERT Élie | 63 |
17 | EDMONDSON Joshua | 62 |
26 | LAVERACK Edward | 62 |
28 | BENETSEDER Josef | 65 |
29 | JOURNIAUX Axel | 63 |
30 | PETTITI Alessandro | 71 |
34 | MULLEN Ryan | 77 |
36 | PÖSTLBERGER Lukas | 70 |
37 | IRVINE Martyn | 80 |
38 | MACKINNON Sean | 75 |
42 | HOLMES Matthew | 67 |
49 | KERGOZOU DE LA BOESSIERE Nick | 74 |
58 | SLEURS Christophe | 68 |
63 | SCHÖNBERGER Sebastian | 64 |
78 | DUNNE Conor | 88 |
81 | MUDGWAY Luke | 65 |
92 | BENHAMOUDA Mehdi | 64 |