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 - 31
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Janse van Rensburg
1
74 kgJelloul
2
58 kgHaddi
4
63 kgLahsaini
5
77 kgBileka
6
65 kgScheirlinckx
8
67 kgTybor
11
72 kgLagab
14
63 kgChaabane
16
70 kgChaoufi
25
65 kgOkubamariam
26
60 kgMetlushenko
30
82 kgShimizu
32
60 kgBrown
34
75 kgSonnery
35
60 kgVernaeckt
36
68 kgDebesay
37
64 kgKal
45
72 kgHasnaoui
56
80 kgSoula
82
68 kgBelgasem
84
68 kgGreen
87
70 kgOrr
92
74 kg
1
74 kgJelloul
2
58 kgHaddi
4
63 kgLahsaini
5
77 kgBileka
6
65 kgScheirlinckx
8
67 kgTybor
11
72 kgLagab
14
63 kgChaabane
16
70 kgChaoufi
25
65 kgOkubamariam
26
60 kgMetlushenko
30
82 kgShimizu
32
60 kgBrown
34
75 kgSonnery
35
60 kgVernaeckt
36
68 kgDebesay
37
64 kgKal
45
72 kgHasnaoui
56
80 kgSoula
82
68 kgBelgasem
84
68 kgGreen
87
70 kgOrr
92
74 kg
Weight (KG) →
Result →
82
58
1
92
# | Rider | Weight (KG) |
---|---|---|
1 | JANSE VAN RENSBURG Reinardt | 74 |
2 | JELLOUL Adil | 58 |
4 | HADDI Soufiane | 63 |
5 | LAHSAINI Mouhssine | 77 |
6 | BILEKA Volodymyr | 65 |
8 | SCHEIRLINCKX Bert | 67 |
11 | TYBOR Patrik | 72 |
14 | LAGAB Azzedine | 63 |
16 | CHAABANE Hichem | 70 |
25 | CHAOUFI Tarik | 65 |
26 | OKUBAMARIAM Tesfom | 60 |
30 | METLUSHENKO Yuri | 82 |
32 | SHIMIZU Miyataka | 60 |
34 | BROWN Arran | 75 |
35 | SONNERY Blaise | 60 |
36 | VERNAECKT Thomas | 68 |
37 | DEBESAY Mekseb | 64 |
45 | KAL Miraç | 72 |
56 | HASNAOUI Maher | 80 |
82 | SOULA Guillaume | 68 |
84 | BELGASEM Ahmed Youssef | 68 |
87 | GREEN Siméon | 70 |
92 | ORR Robert | 74 |