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 = -0.6 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Shpilevsky
1
78 kgJanse van Rensburg
2
74 kgBelgasem
5
68 kgRogina
6
70 kgChaoufi
8
65 kgĐurasek
9
56 kgLahsaini
13
77 kgJelloul
19
58 kgMcLeod
20
66 kgAsadov
23
77 kgZubov
30
72 kgJones
32
64 kgHasanin
36
75 kgPeyroton-Dartet
42
65 kgHasnaoui
43
80 kgNakajima
44
64 kgJaser
46
75 kgMasuda
55
63 kgHristov
63
57 kgSzeghalmi
67
66 kgSoula
92
68 kg
1
78 kgJanse van Rensburg
2
74 kgBelgasem
5
68 kgRogina
6
70 kgChaoufi
8
65 kgĐurasek
9
56 kgLahsaini
13
77 kgJelloul
19
58 kgMcLeod
20
66 kgAsadov
23
77 kgZubov
30
72 kgJones
32
64 kgHasanin
36
75 kgPeyroton-Dartet
42
65 kgHasnaoui
43
80 kgNakajima
44
64 kgJaser
46
75 kgMasuda
55
63 kgHristov
63
57 kgSzeghalmi
67
66 kgSoula
92
68 kg
Weight (KG) →
Result →
80
56
1
92
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | JANSE VAN RENSBURG Reinardt | 74 |
| 5 | BELGASEM Ahmed Youssef | 68 |
| 6 | ROGINA Radoslav | 70 |
| 8 | CHAOUFI Tarik | 65 |
| 9 | ĐURASEK Kristijan | 56 |
| 13 | LAHSAINI Mouhssine | 77 |
| 19 | JELLOUL Adil | 58 |
| 20 | MCLEOD Ian | 66 |
| 23 | ASADOV Elchin | 77 |
| 30 | ZUBOV Matvey | 72 |
| 32 | JONES Chris | 64 |
| 36 | HASANIN Omar | 75 |
| 42 | PEYROTON-DARTET Thomas | 65 |
| 43 | HASNAOUI Maher | 80 |
| 44 | NAKAJIMA Yasuharu | 64 |
| 46 | JASER Nazir | 75 |
| 55 | MASUDA Nariyuki | 63 |
| 63 | HRISTOV Stefan Koychev | 57 |
| 67 | SZEGHALMI Balint | 66 |
| 92 | SOULA Guillaume | 68 |