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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Villumsen
2
59 kgPeñuela
4
53 kgKiesanowski
8
56 kgLaws
10
54 kgBergen
11
64 kgMiller
17
52 kgArmstrong
21
58 kgDuehring
22
54 kgStephens
23
55 kgYonamine
24
51 kgAbbott
25
52 kgThomas
26
58 kgGoldman
27
64 kgHall
32
52 kgHammes
33
54 kgSaarelainen
35
58 kgPrieto
36
54 kgJackson
37
63 kgPoidevin
39
56 kgRoorda
41
70 kgPilote Fortin
45
55 kgSimmonds
48
55 kgLuebke
68
54 kg
2
59 kgPeñuela
4
53 kgKiesanowski
8
56 kgLaws
10
54 kgBergen
11
64 kgMiller
17
52 kgArmstrong
21
58 kgDuehring
22
54 kgStephens
23
55 kgYonamine
24
51 kgAbbott
25
52 kgThomas
26
58 kgGoldman
27
64 kgHall
32
52 kgHammes
33
54 kgSaarelainen
35
58 kgPrieto
36
54 kgJackson
37
63 kgPoidevin
39
56 kgRoorda
41
70 kgPilote Fortin
45
55 kgSimmonds
48
55 kgLuebke
68
54 kg
Weight (KG) →
Result →
70
51
2
68
# | Rider | Weight (KG) |
---|---|---|
2 | VILLUMSEN Linda | 59 |
4 | PEÑUELA Diana | 53 |
8 | KIESANOWSKI Joanne | 56 |
10 | LAWS Sharon | 54 |
11 | BERGEN Sara | 64 |
17 | MILLER Amanda | 52 |
21 | ARMSTRONG Kristin | 58 |
22 | DUEHRING Jasmin | 54 |
23 | STEPHENS Lauren | 55 |
24 | YONAMINE Eri | 51 |
25 | ABBOTT Mara | 52 |
26 | THOMAS Leah | 58 |
27 | GOLDMAN Lindsay | 64 |
32 | HALL Katie | 52 |
33 | HAMMES Kathrin | 54 |
35 | SAARELAINEN Sari | 58 |
36 | PRIETO Marcela Elizabeth | 54 |
37 | JACKSON Alison | 63 |
39 | POIDEVIN Sara | 56 |
41 | ROORDA Stephanie | 70 |
45 | PILOTE FORTIN Gabrielle | 55 |
48 | SIMMONDS Hayley | 55 |
68 | LUEBKE Jennifer | 54 |