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 + 67
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Brown
1
75 kgMetlushenko
2
82 kgJanse van Rensburg
3
74 kgHaddi
4
63 kgVernaeckt
8
68 kgBileka
11
65 kgChaoufi
15
65 kgLahsaini
22
77 kgChaabane
27
70 kgScheirlinckx
30
67 kgJelloul
35
58 kgOkubamariam
37
60 kgTybor
38
72 kgKal
44
72 kgShimizu
45
60 kgSonnery
46
60 kgDebesay
57
64 kgLagab
61
63 kgHasnaoui
63
80 kgSoula
68
68 kgBelgasem
73
68 kgOrr
77
74 kgGreen
89
70 kg
1
75 kgMetlushenko
2
82 kgJanse van Rensburg
3
74 kgHaddi
4
63 kgVernaeckt
8
68 kgBileka
11
65 kgChaoufi
15
65 kgLahsaini
22
77 kgChaabane
27
70 kgScheirlinckx
30
67 kgJelloul
35
58 kgOkubamariam
37
60 kgTybor
38
72 kgKal
44
72 kgShimizu
45
60 kgSonnery
46
60 kgDebesay
57
64 kgLagab
61
63 kgHasnaoui
63
80 kgSoula
68
68 kgBelgasem
73
68 kgOrr
77
74 kgGreen
89
70 kg
Weight (KG) →
Result →
82
58
1
89
# | Rider | Weight (KG) |
---|---|---|
1 | BROWN Arran | 75 |
2 | METLUSHENKO Yuri | 82 |
3 | JANSE VAN RENSBURG Reinardt | 74 |
4 | HADDI Soufiane | 63 |
8 | VERNAECKT Thomas | 68 |
11 | BILEKA Volodymyr | 65 |
15 | CHAOUFI Tarik | 65 |
22 | LAHSAINI Mouhssine | 77 |
27 | CHAABANE Hichem | 70 |
30 | SCHEIRLINCKX Bert | 67 |
35 | JELLOUL Adil | 58 |
37 | OKUBAMARIAM Tesfom | 60 |
38 | TYBOR Patrik | 72 |
44 | KAL Miraç | 72 |
45 | SHIMIZU Miyataka | 60 |
46 | SONNERY Blaise | 60 |
57 | DEBESAY Mekseb | 64 |
61 | LAGAB Azzedine | 63 |
63 | HASNAOUI Maher | 80 |
68 | SOULA Guillaume | 68 |
73 | BELGASEM Ahmed Youssef | 68 |
77 | ORR Robert | 74 |
89 | GREEN Siméon | 70 |