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 = 2.2 * weight - 87
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Stephens
2
55 kgHammes
4
54 kgJasinska
17
57 kgVysotska
20
55 kgJackson
21
63 kgDoebel-Hickok
22
51 kgBoyarskaya
25
67 kgScandolara
27
52 kgHanselmann
29
55 kgWilleit
32
54 kgLaws
37
54 kgSaifutdinova
50
57 kgPaladin
54
59 kgSaarelainen
68
58 kgLill
72
60 kgBaleišytė
83
65 kgRodríguez
98
57 kg
2
55 kgHammes
4
54 kgJasinska
17
57 kgVysotska
20
55 kgJackson
21
63 kgDoebel-Hickok
22
51 kgBoyarskaya
25
67 kgScandolara
27
52 kgHanselmann
29
55 kgWilleit
32
54 kgLaws
37
54 kgSaifutdinova
50
57 kgPaladin
54
59 kgSaarelainen
68
58 kgLill
72
60 kgBaleišytė
83
65 kgRodríguez
98
57 kg
Weight (KG) →
Result →
67
51
2
98
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STEPHENS Lauren | 55 |
| 4 | HAMMES Kathrin | 54 |
| 17 | JASINSKA Małgorzata | 57 |
| 20 | VYSOTSKA Ievgeniia | 55 |
| 21 | JACKSON Alison | 63 |
| 22 | DOEBEL-HICKOK Krista | 51 |
| 25 | BOYARSKAYA Natalia | 67 |
| 27 | SCANDOLARA Valentina | 52 |
| 29 | HANSELMANN Nicole | 55 |
| 32 | WILLEIT Cherise | 54 |
| 37 | LAWS Sharon | 54 |
| 50 | SAIFUTDINOVA Natalya | 57 |
| 54 | PALADIN Soraya | 59 |
| 68 | SAARELAINEN Sari | 58 |
| 72 | LILL Candice | 60 |
| 83 | BALEIŠYTĖ Olivija | 65 |
| 98 | RODRÍGUEZ Gloria | 57 |