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 = 2.1 * weight - 99
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Bronzini
1
54 kgTreier
2
62 kgBaccaille
3
61 kgMustonen
5
58 kgGuarischi
6
57 kgFahlin
7
63 kgArys
8
60 kgRagažinskienė
10
58 kgDruyts
14
62 kgHenrion
15
60 kgDe Vocht
22
61 kgPawlowska
24
60 kgBurchenkova
25
67 kgBrand
29
57 kgKashchyshyna
33
53 kgBastianelli
40
60 kgSöderberg
42
60 kgMatusiak
55
58 kgJasinska
62
57 kgSosna
65
76 kgCarrara
96
64 kgBrennauer
110
63 kg
1
54 kgTreier
2
62 kgBaccaille
3
61 kgMustonen
5
58 kgGuarischi
6
57 kgFahlin
7
63 kgArys
8
60 kgRagažinskienė
10
58 kgDruyts
14
62 kgHenrion
15
60 kgDe Vocht
22
61 kgPawlowska
24
60 kgBurchenkova
25
67 kgBrand
29
57 kgKashchyshyna
33
53 kgBastianelli
40
60 kgSöderberg
42
60 kgMatusiak
55
58 kgJasinska
62
57 kgSosna
65
76 kgCarrara
96
64 kgBrennauer
110
63 kg
Weight (KG) →
Result →
76
53
1
110
# | Rider | Weight (KG) |
---|---|---|
1 | BRONZINI Giorgia | 54 |
2 | TREIER Grete | 62 |
3 | BACCAILLE Monia | 61 |
5 | MUSTONEN Sara | 58 |
6 | GUARISCHI Barbara | 57 |
7 | FAHLIN Emilia | 63 |
8 | ARYS Evelyn | 60 |
10 | RAGAŽINSKIENĖ Daiva | 58 |
14 | DRUYTS Kelly | 62 |
15 | HENRION Ludivine | 60 |
22 | DE VOCHT Liesbet | 61 |
24 | PAWLOWSKA Katarzyna | 60 |
25 | BURCHENKOVA Alexandra | 67 |
29 | BRAND Lucinda | 57 |
33 | KASHCHYSHYNA Oksana | 53 |
40 | BASTIANELLI Marta | 60 |
42 | SÖDERBERG Isabelle | 60 |
55 | MATUSIAK Bogumiła | 58 |
62 | JASINSKA Małgorzata | 57 |
65 | SOSNA Katazyna | 76 |
96 | CARRARA Vera | 64 |
110 | BRENNAUER Lisa | 63 |