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 = 1.3 * weight - 29
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Baker
1
66 kgBalsamo
7
55 kgGreenwood
13
60 kgCopponi
20
55 kgTeruel
22
56 kgDocx
27
52 kgvan der Hulst
30
66 kgSomrat
39
56 kgCasagranda
41
58 kgDronova-Balabolina
43
63 kgManeephan
47
59 kgTacey
48
62 kgSklyarova
58
57 kgMarkus
65
61 kgColes-Lyster
67
61 kgZanardi
71
56 kgNorsgaard
86
65 kgSchweinberger
87
63 kgHenderson
91
58 kg
1
66 kgBalsamo
7
55 kgGreenwood
13
60 kgCopponi
20
55 kgTeruel
22
56 kgDocx
27
52 kgvan der Hulst
30
66 kgSomrat
39
56 kgCasagranda
41
58 kgDronova-Balabolina
43
63 kgManeephan
47
59 kgTacey
48
62 kgSklyarova
58
57 kgMarkus
65
61 kgColes-Lyster
67
61 kgZanardi
71
56 kgNorsgaard
86
65 kgSchweinberger
87
63 kgHenderson
91
58 kg
Weight (KG) →
Result →
66
52
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAKER Georgia | 66 |
| 7 | BALSAMO Elisa | 55 |
| 13 | GREENWOOD Monica | 60 |
| 20 | COPPONI Clara | 55 |
| 22 | TERUEL Alba | 56 |
| 27 | DOCX Mieke | 52 |
| 30 | VAN DER HULST Amber | 66 |
| 39 | SOMRAT Phetdarin | 56 |
| 41 | CASAGRANDA Andrea | 58 |
| 43 | DRONOVA-BALABOLINA Tamara | 63 |
| 47 | MANEEPHAN Jutatip | 59 |
| 48 | TACEY April | 62 |
| 58 | SKLYAROVA Yelizaveta | 57 |
| 65 | MARKUS Riejanne | 61 |
| 67 | COLES-LYSTER Maggie | 61 |
| 71 | ZANARDI Silvia | 56 |
| 86 | NORSGAARD Emma | 65 |
| 87 | SCHWEINBERGER Kathrin | 63 |
| 91 | HENDERSON Anna | 58 |