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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Đurić
1
78 kgStolić
3
73 kgKarić
4
78 kgReemeijer
5
70 kgStojnić
6
73 kgIlić
7
86 kgKers
8
71 kgJovanoski
9
68 kgDivnić
10
64 kgGrover
11
72 kgPetrov
12
66 kgGrömmel
14
70 kgVelia
16
74 kgPalashev
21
67 kgLacaille
22
58 kgZegklis
23
57 kgErauw
24
69 kgLarsen
29
70 kgDyankov
30
65 kgKolev
32
64 kgOchsenhofer
33
88 kg
1
78 kgStolić
3
73 kgKarić
4
78 kgReemeijer
5
70 kgStojnić
6
73 kgIlić
7
86 kgKers
8
71 kgJovanoski
9
68 kgDivnić
10
64 kgGrover
11
72 kgPetrov
12
66 kgGrömmel
14
70 kgVelia
16
74 kgPalashev
21
67 kgLacaille
22
58 kgZegklis
23
57 kgErauw
24
69 kgLarsen
29
70 kgDyankov
30
65 kgKolev
32
64 kgOchsenhofer
33
88 kg
Weight (KG) →
Result →
88
57
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ĐURIĆ Đorđe | 78 |
| 3 | STOLIĆ Mihajlo | 73 |
| 4 | KARIĆ Vedad | 78 |
| 5 | REEMEIJER Niels | 70 |
| 6 | STOJNIĆ Veljko | 73 |
| 7 | ILIĆ Ognjen | 86 |
| 8 | KERS Koos Jeroen | 71 |
| 9 | JOVANOSKI Dimitar | 68 |
| 10 | DIVNIĆ Jovan | 64 |
| 11 | GROVER Freddie | 72 |
| 12 | PETROV Yordan | 66 |
| 14 | GRÖMMEL Rens | 70 |
| 16 | VELIA Olsian | 74 |
| 21 | PALASHEV Borislav | 67 |
| 22 | LACAILLE Charlie | 58 |
| 23 | ZEGKLIS Nikolaos | 57 |
| 24 | ERAUW Thiemo | 69 |
| 29 | LARSEN Ruben Zilas | 70 |
| 30 | DYANKOV Denis | 65 |
| 32 | KOLEV Yoan | 64 |
| 33 | OCHSENHOFER Peter | 88 |