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 + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Soeder
2
52 kgArndt
3
59 kgAntoshina
4
55 kgArmstrong
5
58 kgLjungskog
7
57 kgBecker
9
64 kgVillumsen
10
59 kgThornburn
12
56 kgJohansson
14
58 kgBeveridge
17
55 kgLaws
19
54 kgvan Dijk
20
71 kgWild
25
75 kgPitel
26
52 kgTreier
27
62 kgVilajosana
30
57 kgBurchenkova
33
67 kgRagažinskienė
34
58 kgHagiwara
35
52 kgMatusiak
38
58 kgBatagelj
43
53 kg
2
52 kgArndt
3
59 kgAntoshina
4
55 kgArmstrong
5
58 kgLjungskog
7
57 kgBecker
9
64 kgVillumsen
10
59 kgThornburn
12
56 kgJohansson
14
58 kgBeveridge
17
55 kgLaws
19
54 kgvan Dijk
20
71 kgWild
25
75 kgPitel
26
52 kgTreier
27
62 kgVilajosana
30
57 kgBurchenkova
33
67 kgRagažinskienė
34
58 kgHagiwara
35
52 kgMatusiak
38
58 kgBatagelj
43
53 kg
Weight (KG) →
Result →
75
52
2
43
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOEDER Christiane | 52 |
| 3 | ARNDT Judith | 59 |
| 4 | ANTOSHINA Tatiana | 55 |
| 5 | ARMSTRONG Kristin | 58 |
| 7 | LJUNGSKOG Susanne | 57 |
| 9 | BECKER Charlotte | 64 |
| 10 | VILLUMSEN Linda | 59 |
| 12 | THORNBURN Christine | 56 |
| 14 | JOHANSSON Emma | 58 |
| 17 | BEVERIDGE Julie | 55 |
| 19 | LAWS Sharon | 54 |
| 20 | VAN DIJK Ellen | 71 |
| 25 | WILD Kirsten | 75 |
| 26 | PITEL Edwige | 52 |
| 27 | TREIER Grete | 62 |
| 30 | VILAJOSANA Marta | 57 |
| 33 | BURCHENKOVA Alexandra | 67 |
| 34 | RAGAŽINSKIENĖ Daiva | 58 |
| 35 | HAGIWARA Mayuko | 52 |
| 38 | MATUSIAK Bogumiła | 58 |
| 43 | BATAGELJ Polona | 53 |