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:
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Hasanin
1
75 kgHristov
3
57 kgChaoufi
4
65 kgAsadov
7
77 kgZubov
10
72 kgJones
18
64 kgJaser
21
75 kgRogina
27
70 kgLahsaini
34
77 kgĐurasek
38
56 kgJelloul
43
58 kgMcLeod
47
66 kgMasuda
52
63 kgNakajima
53
64 kgSoula
59
68 kgJanse van Rensburg
63
74 kgPeyroton-Dartet
70
65 kgSzeghalmi
76
66 kgHasnaoui
87
80 kgBelgasem
88
68 kgShpilevsky
95
78 kg
1
75 kgHristov
3
57 kgChaoufi
4
65 kgAsadov
7
77 kgZubov
10
72 kgJones
18
64 kgJaser
21
75 kgRogina
27
70 kgLahsaini
34
77 kgĐurasek
38
56 kgJelloul
43
58 kgMcLeod
47
66 kgMasuda
52
63 kgNakajima
53
64 kgSoula
59
68 kgJanse van Rensburg
63
74 kgPeyroton-Dartet
70
65 kgSzeghalmi
76
66 kgHasnaoui
87
80 kgBelgasem
88
68 kgShpilevsky
95
78 kg
Weight (KG) →
Result →
80
56
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASANIN Omar | 75 |
| 3 | HRISTOV Stefan Koychev | 57 |
| 4 | CHAOUFI Tarik | 65 |
| 7 | ASADOV Elchin | 77 |
| 10 | ZUBOV Matvey | 72 |
| 18 | JONES Chris | 64 |
| 21 | JASER Nazir | 75 |
| 27 | ROGINA Radoslav | 70 |
| 34 | LAHSAINI Mouhssine | 77 |
| 38 | ĐURASEK Kristijan | 56 |
| 43 | JELLOUL Adil | 58 |
| 47 | MCLEOD Ian | 66 |
| 52 | MASUDA Nariyuki | 63 |
| 53 | NAKAJIMA Yasuharu | 64 |
| 59 | SOULA Guillaume | 68 |
| 63 | JANSE VAN RENSBURG Reinardt | 74 |
| 70 | PEYROTON-DARTET Thomas | 65 |
| 76 | SZEGHALMI Balint | 66 |
| 87 | HASNAOUI Maher | 80 |
| 88 | BELGASEM Ahmed Youssef | 68 |
| 95 | SHPILEVSKY Boris | 78 |