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 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Armstrong
1
58 kgThornburn
5
56 kgArndt
6
59 kgSoeder
7
52 kgDoppmann
8
55 kgZabirova
9
65 kgLjungskog
10
57 kgKupfernagel
11
68 kgGuderzo
12
54 kgVillumsen
13
59 kgVos
14
58 kgCooke
15
58 kgBoyarskaya
16
67 kgMin
17
56 kgMelchers
18
59 kgVilajosana
19
57 kgSalvetat
20
55 kgJohansson
21
58 kgWood
22
56 kgPučinskaitė
23
54 kgWrubleski
24
55 kgMeng
25
65 kg
1
58 kgThornburn
5
56 kgArndt
6
59 kgSoeder
7
52 kgDoppmann
8
55 kgZabirova
9
65 kgLjungskog
10
57 kgKupfernagel
11
68 kgGuderzo
12
54 kgVillumsen
13
59 kgVos
14
58 kgCooke
15
58 kgBoyarskaya
16
67 kgMin
17
56 kgMelchers
18
59 kgVilajosana
19
57 kgSalvetat
20
55 kgJohansson
21
58 kgWood
22
56 kgPučinskaitė
23
54 kgWrubleski
24
55 kgMeng
25
65 kg
Weight (KG) →
Result →
68
52
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Kristin | 58 |
| 5 | THORNBURN Christine | 56 |
| 6 | ARNDT Judith | 59 |
| 7 | SOEDER Christiane | 52 |
| 8 | DOPPMANN Priska | 55 |
| 9 | ZABIROVA Zulfiya | 65 |
| 10 | LJUNGSKOG Susanne | 57 |
| 11 | KUPFERNAGEL Hanka | 68 |
| 12 | GUDERZO Tatiana | 54 |
| 13 | VILLUMSEN Linda | 59 |
| 14 | VOS Marianne | 58 |
| 15 | COOKE Nicole | 58 |
| 16 | BOYARSKAYA Natalia | 67 |
| 17 | MIN Gao | 56 |
| 18 | MELCHERS Mirjam | 59 |
| 19 | VILAJOSANA Marta | 57 |
| 20 | SALVETAT Maryline | 55 |
| 21 | JOHANSSON Emma | 58 |
| 22 | WOOD Oenone | 56 |
| 23 | PUČINSKAITĖ Edita | 54 |
| 24 | WRUBLESKI Alex | 55 |
| 25 | MENG Lang | 65 |