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 = -1.5 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Shpilevsky
1
78 kgJanse van Rensburg
2
74 kgRogina
4
70 kgZubov
5
72 kgLahsaini
7
77 kgChaoufi
12
65 kgJaser
14
75 kgNakajima
16
64 kgHasnaoui
24
80 kgSzeghalmi
27
66 kgĐurasek
31
56 kgJelloul
32
58 kgSoula
37
68 kgAsadov
40
77 kgMcLeod
45
66 kgPeyroton-Dartet
55
65 kgHristov
58
57 kgHasanin
62
75 kgMasuda
73
63 kgBelgasem
82
68 kgJones
85
64 kg
1
78 kgJanse van Rensburg
2
74 kgRogina
4
70 kgZubov
5
72 kgLahsaini
7
77 kgChaoufi
12
65 kgJaser
14
75 kgNakajima
16
64 kgHasnaoui
24
80 kgSzeghalmi
27
66 kgĐurasek
31
56 kgJelloul
32
58 kgSoula
37
68 kgAsadov
40
77 kgMcLeod
45
66 kgPeyroton-Dartet
55
65 kgHristov
58
57 kgHasanin
62
75 kgMasuda
73
63 kgBelgasem
82
68 kgJones
85
64 kg
Weight (KG) →
Result →
80
56
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | JANSE VAN RENSBURG Reinardt | 74 |
| 4 | ROGINA Radoslav | 70 |
| 5 | ZUBOV Matvey | 72 |
| 7 | LAHSAINI Mouhssine | 77 |
| 12 | CHAOUFI Tarik | 65 |
| 14 | JASER Nazir | 75 |
| 16 | NAKAJIMA Yasuharu | 64 |
| 24 | HASNAOUI Maher | 80 |
| 27 | SZEGHALMI Balint | 66 |
| 31 | ĐURASEK Kristijan | 56 |
| 32 | JELLOUL Adil | 58 |
| 37 | SOULA Guillaume | 68 |
| 40 | ASADOV Elchin | 77 |
| 45 | MCLEOD Ian | 66 |
| 55 | PEYROTON-DARTET Thomas | 65 |
| 58 | HRISTOV Stefan Koychev | 57 |
| 62 | HASANIN Omar | 75 |
| 73 | MASUDA Nariyuki | 63 |
| 82 | BELGASEM Ahmed Youssef | 68 |
| 85 | JONES Chris | 64 |