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 = 0.7 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Janse van Rensburg
2
74 kgLahsaini
3
77 kgRogina
4
70 kgJelloul
10
58 kgMcLeod
11
66 kgĐurasek
13
56 kgJones
20
64 kgChaoufi
21
65 kgPeyroton-Dartet
22
65 kgHasanin
24
75 kgBelgasem
27
68 kgAsadov
31
77 kgNakajima
38
64 kgMasuda
41
63 kgZubov
57
72 kgHristov
58
57 kgShpilevsky
59
78 kgSzeghalmi
60
66 kgHasnaoui
66
80 kgJaser
68
75 kgSoula
96
68 kgȚvetcov
101
69 kg
2
74 kgLahsaini
3
77 kgRogina
4
70 kgJelloul
10
58 kgMcLeod
11
66 kgĐurasek
13
56 kgJones
20
64 kgChaoufi
21
65 kgPeyroton-Dartet
22
65 kgHasanin
24
75 kgBelgasem
27
68 kgAsadov
31
77 kgNakajima
38
64 kgMasuda
41
63 kgZubov
57
72 kgHristov
58
57 kgShpilevsky
59
78 kgSzeghalmi
60
66 kgHasnaoui
66
80 kgJaser
68
75 kgSoula
96
68 kgȚvetcov
101
69 kg
Weight (KG) →
Result →
80
56
2
101
# | Rider | Weight (KG) |
---|---|---|
2 | JANSE VAN RENSBURG Reinardt | 74 |
3 | LAHSAINI Mouhssine | 77 |
4 | ROGINA Radoslav | 70 |
10 | JELLOUL Adil | 58 |
11 | MCLEOD Ian | 66 |
13 | ĐURASEK Kristijan | 56 |
20 | JONES Chris | 64 |
21 | CHAOUFI Tarik | 65 |
22 | PEYROTON-DARTET Thomas | 65 |
24 | HASANIN Omar | 75 |
27 | BELGASEM Ahmed Youssef | 68 |
31 | ASADOV Elchin | 77 |
38 | NAKAJIMA Yasuharu | 64 |
41 | MASUDA Nariyuki | 63 |
57 | ZUBOV Matvey | 72 |
58 | HRISTOV Stefan Koychev | 57 |
59 | SHPILEVSKY Boris | 78 |
60 | SZEGHALMI Balint | 66 |
66 | HASNAOUI Maher | 80 |
68 | JASER Nazir | 75 |
96 | SOULA Guillaume | 68 |
101 | ȚVETCOV Serghei | 69 |