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 = 0.8 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Janse van Rensburg
2
74 kgMcLeod
5
66 kgLahsaini
7
77 kgMasuda
8
63 kgJelloul
10
58 kgRogina
14
70 kgĐurasek
16
56 kgJones
18
64 kgChaoufi
22
65 kgPeyroton-Dartet
25
65 kgAsadov
34
77 kgHasanin
35
75 kgHasnaoui
36
80 kgHristov
46
57 kgNakajima
49
64 kgȚvetcov
50
69 kgSzeghalmi
51
66 kgHaddi
59
63 kgZubov
64
72 kgBelgasem
72
68 kgShpilevsky
74
78 kgJaser
81
75 kgSoula
89
68 kg
2
74 kgMcLeod
5
66 kgLahsaini
7
77 kgMasuda
8
63 kgJelloul
10
58 kgRogina
14
70 kgĐurasek
16
56 kgJones
18
64 kgChaoufi
22
65 kgPeyroton-Dartet
25
65 kgAsadov
34
77 kgHasanin
35
75 kgHasnaoui
36
80 kgHristov
46
57 kgNakajima
49
64 kgȚvetcov
50
69 kgSzeghalmi
51
66 kgHaddi
59
63 kgZubov
64
72 kgBelgasem
72
68 kgShpilevsky
74
78 kgJaser
81
75 kgSoula
89
68 kg
Weight (KG) →
Result →
80
56
2
89
# | Rider | Weight (KG) |
---|---|---|
2 | JANSE VAN RENSBURG Reinardt | 74 |
5 | MCLEOD Ian | 66 |
7 | LAHSAINI Mouhssine | 77 |
8 | MASUDA Nariyuki | 63 |
10 | JELLOUL Adil | 58 |
14 | ROGINA Radoslav | 70 |
16 | ĐURASEK Kristijan | 56 |
18 | JONES Chris | 64 |
22 | CHAOUFI Tarik | 65 |
25 | PEYROTON-DARTET Thomas | 65 |
34 | ASADOV Elchin | 77 |
35 | HASANIN Omar | 75 |
36 | HASNAOUI Maher | 80 |
46 | HRISTOV Stefan Koychev | 57 |
49 | NAKAJIMA Yasuharu | 64 |
50 | ȚVETCOV Serghei | 69 |
51 | SZEGHALMI Balint | 66 |
59 | HADDI Soufiane | 63 |
64 | ZUBOV Matvey | 72 |
72 | BELGASEM Ahmed Youssef | 68 |
74 | SHPILEVSKY Boris | 78 |
81 | JASER Nazir | 75 |
89 | SOULA Guillaume | 68 |