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 = 0.4 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Mustonen
2
58 kgDe Vocht
4
61 kgBurchenkova
5
67 kgTreier
6
62 kgBaccaille
7
61 kgBrennauer
10
63 kgHenrion
11
60 kgArys
12
60 kgFahlin
19
63 kgDruyts
23
62 kgRagažinskienė
24
58 kgBrand
25
57 kgBronzini
26
54 kgJasinska
28
57 kgKashchyshyna
34
53 kgSöderberg
40
60 kgMatusiak
46
58 kgPawlowska
47
60 kgSosna
61
76 kgBastianelli
71
60 kgCarrara
75
64 kgGuarischi
85
57 kg
2
58 kgDe Vocht
4
61 kgBurchenkova
5
67 kgTreier
6
62 kgBaccaille
7
61 kgBrennauer
10
63 kgHenrion
11
60 kgArys
12
60 kgFahlin
19
63 kgDruyts
23
62 kgRagažinskienė
24
58 kgBrand
25
57 kgBronzini
26
54 kgJasinska
28
57 kgKashchyshyna
34
53 kgSöderberg
40
60 kgMatusiak
46
58 kgPawlowska
47
60 kgSosna
61
76 kgBastianelli
71
60 kgCarrara
75
64 kgGuarischi
85
57 kg
Weight (KG) →
Result →
76
53
2
85
# | Rider | Weight (KG) |
---|---|---|
2 | MUSTONEN Sara | 58 |
4 | DE VOCHT Liesbet | 61 |
5 | BURCHENKOVA Alexandra | 67 |
6 | TREIER Grete | 62 |
7 | BACCAILLE Monia | 61 |
10 | BRENNAUER Lisa | 63 |
11 | HENRION Ludivine | 60 |
12 | ARYS Evelyn | 60 |
19 | FAHLIN Emilia | 63 |
23 | DRUYTS Kelly | 62 |
24 | RAGAŽINSKIENĖ Daiva | 58 |
25 | BRAND Lucinda | 57 |
26 | BRONZINI Giorgia | 54 |
28 | JASINSKA Małgorzata | 57 |
34 | KASHCHYSHYNA Oksana | 53 |
40 | SÖDERBERG Isabelle | 60 |
46 | MATUSIAK Bogumiła | 58 |
47 | PAWLOWSKA Katarzyna | 60 |
61 | SOSNA Katazyna | 76 |
71 | BASTIANELLI Marta | 60 |
75 | CARRARA Vera | 64 |
85 | GUARISCHI Barbara | 57 |