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 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Pellaud
1
70 kgCarr
2
66 kgCastrillo
3
74 kgCovili
4
58 kgCepeda
5
56 kgBou
7
62 kgDouble
8
56 kgvan Engelen
10
51 kgPronskiy
11
58 kgValgren
12
71 kgSainbayar
13
60 kgMazuki
14
57 kgEiking
15
75 kgMohd Zariff
17
63 kgTzortzakis
18
80 kgPareja
22
52 kgMurguialday
23
57 kgSirironnachai
24
61 kgFroidevaux
25
71 kgMudgway
28
65 kg
1
70 kgCarr
2
66 kgCastrillo
3
74 kgCovili
4
58 kgCepeda
5
56 kgBou
7
62 kgDouble
8
56 kgvan Engelen
10
51 kgPronskiy
11
58 kgValgren
12
71 kgSainbayar
13
60 kgMazuki
14
57 kgEiking
15
75 kgMohd Zariff
17
63 kgTzortzakis
18
80 kgPareja
22
52 kgMurguialday
23
57 kgSirironnachai
24
61 kgFroidevaux
25
71 kgMudgway
28
65 kg
Weight (KG) →
Result →
80
51
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PELLAUD Simon | 70 |
| 2 | CARR Simon | 66 |
| 3 | CASTRILLO Pablo | 74 |
| 4 | COVILI Luca | 58 |
| 5 | CEPEDA Jefferson Alexander | 56 |
| 7 | BOU Joan | 62 |
| 8 | DOUBLE Paul | 56 |
| 10 | VAN ENGELEN Adne | 51 |
| 11 | PRONSKIY Vadim | 58 |
| 12 | VALGREN Michael | 71 |
| 13 | SAINBAYAR Jambaljamts | 60 |
| 14 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 15 | EIKING Odd Christian | 75 |
| 17 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 18 | TZORTZAKIS Polychronis | 80 |
| 22 | PAREJA Nichol Blanca | 52 |
| 23 | MURGUIALDAY Jokin | 57 |
| 24 | SIRIRONNACHAI Sarawut | 61 |
| 25 | FROIDEVAUX Robin | 71 |
| 28 | MUDGWAY Luke | 65 |