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 = -1.1 * weight + 80
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Wiebes
1
60 kgBalsamo
2
55 kgVollering
3
57 kgDygert
4
66 kgDronova-Balabolina
5
63 kgPersico
9
53 kgReusser
10
70 kgGutiérrez
11
60 kgZanardi
12
56 kgSkalniak-Sójka
14
54 kgHammes
18
54 kgPaternoster
20
53 kgPaladin
21
59 kgAndersen
24
55 kgGhekiere
25
52 kgManly
26
53 kgVas
28
51 kgJackson
29
63 kgBrand
30
57 kgJaskulska
33
52 kgAalerud
34
54 kgSteels
36
55 kgCopponi
37
55 kg
1
60 kgBalsamo
2
55 kgVollering
3
57 kgDygert
4
66 kgDronova-Balabolina
5
63 kgPersico
9
53 kgReusser
10
70 kgGutiérrez
11
60 kgZanardi
12
56 kgSkalniak-Sójka
14
54 kgHammes
18
54 kgPaternoster
20
53 kgPaladin
21
59 kgAndersen
24
55 kgGhekiere
25
52 kgManly
26
53 kgVas
28
51 kgJackson
29
63 kgBrand
30
57 kgJaskulska
33
52 kgAalerud
34
54 kgSteels
36
55 kgCopponi
37
55 kg
Weight (KG) →
Result →
70
51
1
37
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
2 | BALSAMO Elisa | 55 |
3 | VOLLERING Demi | 57 |
4 | DYGERT Chloé | 66 |
5 | DRONOVA-BALABOLINA Tamara | 63 |
9 | PERSICO Silvia | 53 |
10 | REUSSER Marlen | 70 |
11 | GUTIÉRREZ Sheyla | 60 |
12 | ZANARDI Silvia | 56 |
14 | SKALNIAK-SÓJKA Agnieszka | 54 |
18 | HAMMES Kathrin | 54 |
20 | PATERNOSTER Letizia | 53 |
21 | PALADIN Soraya | 59 |
24 | ANDERSEN Susanne | 55 |
25 | GHEKIERE Justine | 52 |
26 | MANLY Alexandra | 53 |
28 | VAS Blanka | 51 |
29 | JACKSON Alison | 63 |
30 | BRAND Lucinda | 57 |
33 | JASKULSKA Marta | 52 |
34 | AALERUD Katrine | 54 |
36 | STEELS Claire | 55 |
37 | COPPONI Clara | 55 |