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 = 0.4 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Brown
1
75 kgMetlushenko
3
82 kgJanse van Rensburg
4
74 kgVernaeckt
5
68 kgChaoufi
7
65 kgJelloul
8
58 kgScheirlinckx
9
67 kgBileka
11
65 kgHaddi
13
63 kgShimizu
15
60 kgLahsaini
16
77 kgTybor
22
72 kgLagab
23
63 kgDebesay
27
64 kgChaabane
38
70 kgKal
47
72 kgOkubamariam
61
60 kgSonnery
68
60 kgSoula
83
68 kgOrr
84
74 kgGreen
85
70 kgHasnaoui
89
80 kgBelgasem
92
68 kg
1
75 kgMetlushenko
3
82 kgJanse van Rensburg
4
74 kgVernaeckt
5
68 kgChaoufi
7
65 kgJelloul
8
58 kgScheirlinckx
9
67 kgBileka
11
65 kgHaddi
13
63 kgShimizu
15
60 kgLahsaini
16
77 kgTybor
22
72 kgLagab
23
63 kgDebesay
27
64 kgChaabane
38
70 kgKal
47
72 kgOkubamariam
61
60 kgSonnery
68
60 kgSoula
83
68 kgOrr
84
74 kgGreen
85
70 kgHasnaoui
89
80 kgBelgasem
92
68 kg
Weight (KG) →
Result →
82
58
1
92
# | Rider | Weight (KG) |
---|---|---|
1 | BROWN Arran | 75 |
3 | METLUSHENKO Yuri | 82 |
4 | JANSE VAN RENSBURG Reinardt | 74 |
5 | VERNAECKT Thomas | 68 |
7 | CHAOUFI Tarik | 65 |
8 | JELLOUL Adil | 58 |
9 | SCHEIRLINCKX Bert | 67 |
11 | BILEKA Volodymyr | 65 |
13 | HADDI Soufiane | 63 |
15 | SHIMIZU Miyataka | 60 |
16 | LAHSAINI Mouhssine | 77 |
22 | TYBOR Patrik | 72 |
23 | LAGAB Azzedine | 63 |
27 | DEBESAY Mekseb | 64 |
38 | CHAABANE Hichem | 70 |
47 | KAL Miraç | 72 |
61 | OKUBAMARIAM Tesfom | 60 |
68 | SONNERY Blaise | 60 |
83 | SOULA Guillaume | 68 |
84 | ORR Robert | 74 |
85 | GREEN Siméon | 70 |
89 | HASNAOUI Maher | 80 |
92 | BELGASEM Ahmed Youssef | 68 |