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 = -2.5 * weight + 179
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Ragažinskienė
1
58 kgMustonen
2
58 kgBurchenkova
3
67 kgDe Vocht
5
61 kgTreier
6
62 kgFahlin
7
63 kgBastianelli
9
60 kgBaccaille
12
61 kgArys
15
60 kgBrennauer
18
63 kgDruyts
23
62 kgBronzini
25
54 kgSöderberg
26
60 kgHenrion
27
60 kgSosna
28
76 kgMatusiak
33
58 kgJasinska
51
57 kgPawlowska
62
60 kgBrand
69
57 kgGuarischi
87
57 kgKashchyshyna
100
53 kg
1
58 kgMustonen
2
58 kgBurchenkova
3
67 kgDe Vocht
5
61 kgTreier
6
62 kgFahlin
7
63 kgBastianelli
9
60 kgBaccaille
12
61 kgArys
15
60 kgBrennauer
18
63 kgDruyts
23
62 kgBronzini
25
54 kgSöderberg
26
60 kgHenrion
27
60 kgSosna
28
76 kgMatusiak
33
58 kgJasinska
51
57 kgPawlowska
62
60 kgBrand
69
57 kgGuarischi
87
57 kgKashchyshyna
100
53 kg
Weight (KG) →
Result →
76
53
1
100
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAGAŽINSKIENĖ Daiva | 58 |
| 2 | MUSTONEN Sara | 58 |
| 3 | BURCHENKOVA Alexandra | 67 |
| 5 | DE VOCHT Liesbet | 61 |
| 6 | TREIER Grete | 62 |
| 7 | FAHLIN Emilia | 63 |
| 9 | BASTIANELLI Marta | 60 |
| 12 | BACCAILLE Monia | 61 |
| 15 | ARYS Evelyn | 60 |
| 18 | BRENNAUER Lisa | 63 |
| 23 | DRUYTS Kelly | 62 |
| 25 | BRONZINI Giorgia | 54 |
| 26 | SÖDERBERG Isabelle | 60 |
| 27 | HENRION Ludivine | 60 |
| 28 | SOSNA Katazyna | 76 |
| 33 | MATUSIAK Bogumiła | 58 |
| 51 | JASINSKA Małgorzata | 57 |
| 62 | PAWLOWSKA Katarzyna | 60 |
| 69 | BRAND Lucinda | 57 |
| 87 | GUARISCHI Barbara | 57 |
| 100 | KASHCHYSHYNA Oksana | 53 |