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 + 91
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
6
77 kgShpilevsky
10
78 kgRogina
11
70 kgJelloul
17
58 kgMcLeod
18
66 kgĐurasek
20
56 kgAsadov
29
77 kgPeyroton-Dartet
38
65 kgChaoufi
39
65 kgZubov
43
72 kgHasnaoui
50
80 kgJaser
53
75 kgJones
56
64 kgMasuda
62
63 kgBelgasem
68
68 kgHristov
71
57 kgSzeghalmi
74
66 kgNakajima
76
64 kgHasanin
86
75 kgSoula
99
68 kg
2
74 kgLahsaini
6
77 kgShpilevsky
10
78 kgRogina
11
70 kgJelloul
17
58 kgMcLeod
18
66 kgĐurasek
20
56 kgAsadov
29
77 kgPeyroton-Dartet
38
65 kgChaoufi
39
65 kgZubov
43
72 kgHasnaoui
50
80 kgJaser
53
75 kgJones
56
64 kgMasuda
62
63 kgBelgasem
68
68 kgHristov
71
57 kgSzeghalmi
74
66 kgNakajima
76
64 kgHasanin
86
75 kgSoula
99
68 kg
Weight (KG) →
Result →
80
56
2
99
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSE VAN RENSBURG Reinardt | 74 |
| 6 | LAHSAINI Mouhssine | 77 |
| 10 | SHPILEVSKY Boris | 78 |
| 11 | ROGINA Radoslav | 70 |
| 17 | JELLOUL Adil | 58 |
| 18 | MCLEOD Ian | 66 |
| 20 | ĐURASEK Kristijan | 56 |
| 29 | ASADOV Elchin | 77 |
| 38 | PEYROTON-DARTET Thomas | 65 |
| 39 | CHAOUFI Tarik | 65 |
| 43 | ZUBOV Matvey | 72 |
| 50 | HASNAOUI Maher | 80 |
| 53 | JASER Nazir | 75 |
| 56 | JONES Chris | 64 |
| 62 | MASUDA Nariyuki | 63 |
| 68 | BELGASEM Ahmed Youssef | 68 |
| 71 | HRISTOV Stefan Koychev | 57 |
| 74 | SZEGHALMI Balint | 66 |
| 76 | NAKAJIMA Yasuharu | 64 |
| 86 | HASANIN Omar | 75 |
| 99 | SOULA Guillaume | 68 |