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 = -0.7 * weight + 85
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Bronzini
1
54 kgTreier
2
62 kgBaccaille
3
61 kgArys
7
60 kgHenrion
8
60 kgDruyts
9
62 kgMustonen
10
58 kgRagažinskienė
11
58 kgBrennauer
18
63 kgDe Vocht
21
61 kgSosna
27
76 kgBurchenkova
32
67 kgKashchyshyna
41
53 kgPawlowska
43
60 kgBastianelli
59
60 kgJasinska
76
57 kgMatusiak
78
58 kgGuarischi
86
57 kgCarrara
98
64 kgBrand
115
57 kgFahlin
118
63 kgSöderberg
120
60 kg
1
54 kgTreier
2
62 kgBaccaille
3
61 kgArys
7
60 kgHenrion
8
60 kgDruyts
9
62 kgMustonen
10
58 kgRagažinskienė
11
58 kgBrennauer
18
63 kgDe Vocht
21
61 kgSosna
27
76 kgBurchenkova
32
67 kgKashchyshyna
41
53 kgPawlowska
43
60 kgBastianelli
59
60 kgJasinska
76
57 kgMatusiak
78
58 kgGuarischi
86
57 kgCarrara
98
64 kgBrand
115
57 kgFahlin
118
63 kgSöderberg
120
60 kg
Weight (KG) →
Result →
76
53
1
120
# | Rider | Weight (KG) |
---|---|---|
1 | BRONZINI Giorgia | 54 |
2 | TREIER Grete | 62 |
3 | BACCAILLE Monia | 61 |
7 | ARYS Evelyn | 60 |
8 | HENRION Ludivine | 60 |
9 | DRUYTS Kelly | 62 |
10 | MUSTONEN Sara | 58 |
11 | RAGAŽINSKIENĖ Daiva | 58 |
18 | BRENNAUER Lisa | 63 |
21 | DE VOCHT Liesbet | 61 |
27 | SOSNA Katazyna | 76 |
32 | BURCHENKOVA Alexandra | 67 |
41 | KASHCHYSHYNA Oksana | 53 |
43 | PAWLOWSKA Katarzyna | 60 |
59 | BASTIANELLI Marta | 60 |
76 | JASINSKA Małgorzata | 57 |
78 | MATUSIAK Bogumiła | 58 |
86 | GUARISCHI Barbara | 57 |
98 | CARRARA Vera | 64 |
115 | BRAND Lucinda | 57 |
118 | FAHLIN Emilia | 63 |
120 | SÖDERBERG Isabelle | 60 |