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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Matysiak
1
71 kgSapa
2
82 kgRutkiewicz
3
66 kgBodnar
4
68 kgMorajko
5
65 kgKluge
6
83 kgHuzarski
7
69 kgBernas
8
77 kgKurek
9
80 kgWiśniowski
10
78 kgBenedetti
11
63 kgPolnický
12
68 kgKiendyś
13
78 kgRebellin
14
63 kgBárta
17
75 kgMarycz
18
69 kgMager
21
60 kgZaballa
22
66 kg
1
71 kgSapa
2
82 kgRutkiewicz
3
66 kgBodnar
4
68 kgMorajko
5
65 kgKluge
6
83 kgHuzarski
7
69 kgBernas
8
77 kgKurek
9
80 kgWiśniowski
10
78 kgBenedetti
11
63 kgPolnický
12
68 kgKiendyś
13
78 kgRebellin
14
63 kgBárta
17
75 kgMarycz
18
69 kgMager
21
60 kgZaballa
22
66 kg
Weight (KG) →
Result →
83
60
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATYSIAK Bartłomiej | 71 |
| 2 | SAPA Marcin | 82 |
| 3 | RUTKIEWICZ Marek | 66 |
| 4 | BODNAR Łukasz | 68 |
| 5 | MORAJKO Jacek | 65 |
| 6 | KLUGE Roger | 83 |
| 7 | HUZARSKI Bartosz | 69 |
| 8 | BERNAS Paweł | 77 |
| 9 | KUREK Adrian | 80 |
| 10 | WIŚNIOWSKI Łukasz | 78 |
| 11 | BENEDETTI Cesare | 63 |
| 12 | POLNICKÝ Jiří | 68 |
| 13 | KIENDYŚ Tomasz | 78 |
| 14 | REBELLIN Davide | 63 |
| 17 | BÁRTA Jan | 75 |
| 18 | MARYCZ Jarosław | 69 |
| 21 | MAGER Christian | 60 |
| 22 | ZABALLA Constantino | 66 |