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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Grosu
1
68 kgLiepiņš
3
67 kgKurek
4
80 kgKiendyś
6
78 kgKrasnov
7
65 kgDe Negri
8
61 kgJõeäär
9
84 kgRäim
10
69 kgBoev
12
74 kgBanaszek
13
79 kgAverin
14
74 kgDžervus
16
77 kgLaas
17
76 kgKomar
18
73 kgKritskiy
20
81 kgManninen
21
70 kgKlimov
22
69 kgStępniak
23
75 kgStacchiotti
24
70 kg
1
68 kgLiepiņš
3
67 kgKurek
4
80 kgKiendyś
6
78 kgKrasnov
7
65 kgDe Negri
8
61 kgJõeäär
9
84 kgRäim
10
69 kgBoev
12
74 kgBanaszek
13
79 kgAverin
14
74 kgDžervus
16
77 kgLaas
17
76 kgKomar
18
73 kgKritskiy
20
81 kgManninen
21
70 kgKlimov
22
69 kgStępniak
23
75 kgStacchiotti
24
70 kg
Weight (KG) →
Result →
84
61
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROSU Eduard-Michael | 68 |
| 3 | LIEPIŅŠ Emīls | 67 |
| 4 | KUREK Adrian | 80 |
| 6 | KIENDYŚ Tomasz | 78 |
| 7 | KRASNOV Leonid | 65 |
| 8 | DE NEGRI Pier Paolo | 61 |
| 9 | JÕEÄÄR Gert | 84 |
| 10 | RÄIM Mihkel | 69 |
| 12 | BOEV Igor | 74 |
| 13 | BANASZEK Adrian | 79 |
| 14 | AVERIN Maksym | 74 |
| 16 | DŽERVUS Darijus | 77 |
| 17 | LAAS Martin | 76 |
| 18 | KOMAR Mateusz | 73 |
| 20 | KRITSKIY Timofey | 81 |
| 21 | MANNINEN Matti | 70 |
| 22 | KLIMOV Sergey | 69 |
| 23 | STĘPNIAK Grzegorz | 75 |
| 24 | STACCHIOTTI Riccardo | 70 |