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 = -0.1 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Szurkowski
2
77 kgGonschorek
3
70 kgBławdzin
8
69 kgSaidkhuzhin
9
69 kgMagiera
16
78 kgHanusik
17
74 kgJuszko
21
78 kgCzechowski
23
75 kgDucreux
28
65 kgPeterman
32
70 kgHojlund
39
80 kgDíaz
40
59 kgGera
43
76 kgMegyerdi
45
65 kgKeserű
47
79 kgSarabia
55
62 kgKotev
56
82 kg
2
77 kgGonschorek
3
70 kgBławdzin
8
69 kgSaidkhuzhin
9
69 kgMagiera
16
78 kgHanusik
17
74 kgJuszko
21
78 kgCzechowski
23
75 kgDucreux
28
65 kgPeterman
32
70 kgHojlund
39
80 kgDíaz
40
59 kgGera
43
76 kgMegyerdi
45
65 kgKeserű
47
79 kgSarabia
55
62 kgKotev
56
82 kg
Weight (KG) →
Result →
82
59
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SZURKOWSKI Ryszard | 77 |
| 3 | GONSCHOREK Dieter | 70 |
| 8 | BŁAWDZIN Andrzej | 69 |
| 9 | SAIDKHUZHIN Gainan | 69 |
| 16 | MAGIERA Jan | 78 |
| 17 | HANUSIK Zygmunt | 74 |
| 21 | JUSZKO Janos | 78 |
| 23 | CZECHOWSKI Zenon | 75 |
| 28 | DUCREUX Daniel | 65 |
| 32 | PETERMAN József | 70 |
| 39 | HOJLUND Ole | 80 |
| 40 | DÍAZ Heriberto | 59 |
| 43 | GERA Imre | 76 |
| 45 | MEGYERDI Antal | 65 |
| 47 | KESERŰ Ferenc | 79 |
| 55 | SARABIA Jesus | 62 |
| 56 | KOTEV Dimitar | 82 |