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 - 15
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Rogina
3
70 kgMcLeod
4
66 kgJanse van Rensburg
6
74 kgLahsaini
7
77 kgJelloul
9
58 kgĐurasek
11
56 kgJones
14
64 kgChaoufi
19
65 kgAsadov
21
77 kgMasuda
27
63 kgPeyroton-Dartet
31
65 kgZubov
40
72 kgShpilevsky
41
78 kgHristov
42
57 kgBelgasem
46
68 kgHasanin
48
75 kgNakajima
51
64 kgSzeghalmi
53
66 kgHasnaoui
57
80 kgJaser
70
75 kgSoula
86
68 kg
3
70 kgMcLeod
4
66 kgJanse van Rensburg
6
74 kgLahsaini
7
77 kgJelloul
9
58 kgĐurasek
11
56 kgJones
14
64 kgChaoufi
19
65 kgAsadov
21
77 kgMasuda
27
63 kgPeyroton-Dartet
31
65 kgZubov
40
72 kgShpilevsky
41
78 kgHristov
42
57 kgBelgasem
46
68 kgHasanin
48
75 kgNakajima
51
64 kgSzeghalmi
53
66 kgHasnaoui
57
80 kgJaser
70
75 kgSoula
86
68 kg
Weight (KG) →
Result →
80
56
3
86
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROGINA Radoslav | 70 |
| 4 | MCLEOD Ian | 66 |
| 6 | JANSE VAN RENSBURG Reinardt | 74 |
| 7 | LAHSAINI Mouhssine | 77 |
| 9 | JELLOUL Adil | 58 |
| 11 | ĐURASEK Kristijan | 56 |
| 14 | JONES Chris | 64 |
| 19 | CHAOUFI Tarik | 65 |
| 21 | ASADOV Elchin | 77 |
| 27 | MASUDA Nariyuki | 63 |
| 31 | PEYROTON-DARTET Thomas | 65 |
| 40 | ZUBOV Matvey | 72 |
| 41 | SHPILEVSKY Boris | 78 |
| 42 | HRISTOV Stefan Koychev | 57 |
| 46 | BELGASEM Ahmed Youssef | 68 |
| 48 | HASANIN Omar | 75 |
| 51 | NAKAJIMA Yasuharu | 64 |
| 53 | SZEGHALMI Balint | 66 |
| 57 | HASNAOUI Maher | 80 |
| 70 | JASER Nazir | 75 |
| 86 | SOULA Guillaume | 68 |