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 = -0.2 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Minali
1
74 kgGuardini
2
66 kgGidich
3
69 kgSeo
4
66 kgMalucelli
5
68 kgPacioni
7
67 kgDebesay
8
64 kgSimion
9
79 kgGroves
10
76 kgBelletti
11
72 kgZulkifli
12
65 kgKump
13
68 kgFelipe
14
58 kgMolano
16
72 kgAbdurrahman
17
56 kgPage
21
64 kgSuaza
24
66 kgBanaszek
25
75 kgFonzi
26
63 kgTleubayev
28
70 kgWackermann
31
68 kg
1
74 kgGuardini
2
66 kgGidich
3
69 kgSeo
4
66 kgMalucelli
5
68 kgPacioni
7
67 kgDebesay
8
64 kgSimion
9
79 kgGroves
10
76 kgBelletti
11
72 kgZulkifli
12
65 kgKump
13
68 kgFelipe
14
58 kgMolano
16
72 kgAbdurrahman
17
56 kgPage
21
64 kgSuaza
24
66 kgBanaszek
25
75 kgFonzi
26
63 kgTleubayev
28
70 kgWackermann
31
68 kg
Weight (KG) →
Result →
79
56
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MINALI Riccardo | 74 |
| 2 | GUARDINI Andrea | 66 |
| 3 | GIDICH Yevgeniy | 69 |
| 4 | SEO Joon Yong | 66 |
| 5 | MALUCELLI Matteo | 68 |
| 7 | PACIONI Luca | 67 |
| 8 | DEBESAY Mekseb | 64 |
| 9 | SIMION Paolo | 79 |
| 10 | GROVES Kaden | 76 |
| 11 | BELLETTI Manuel | 72 |
| 12 | ZULKIFLI Nik Mohamad Azman | 65 |
| 13 | KUMP Marko | 68 |
| 14 | FELIPE Marcelo | 58 |
| 16 | MOLANO Juan Sebastián | 72 |
| 17 | ABDURRAHMAN Muhammad | 56 |
| 21 | PAGE Dylan | 64 |
| 24 | SUAZA Bernardo | 66 |
| 25 | BANASZEK Alan | 75 |
| 26 | FONZI Giuseppe | 63 |
| 28 | TLEUBAYEV Ruslan | 70 |
| 31 | WACKERMANN Luca | 68 |