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 = 0.9 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Armstrong
1
58 kgDeignan
3
57 kgSoeder
4
52 kgVysotska
6
55 kgLaws
7
54 kgLichtenberg
10
52 kgCheatley
11
64 kgStevens
12
55 kgHenrion
18
60 kgOlds
26
54 kgMelchers
28
59 kgMajerus
29
56 kgKashchyshyna
31
53 kgCanuel
32
51 kgBrammeier
34
60 kgNumainville
35
65 kgJasinska
46
57 kgBrennauer
48
63 kgMartin
53
57 kgWhitten
54
67 kgHannes
57
51 kgDe Groot
61
56 kg
1
58 kgDeignan
3
57 kgSoeder
4
52 kgVysotska
6
55 kgLaws
7
54 kgLichtenberg
10
52 kgCheatley
11
64 kgStevens
12
55 kgHenrion
18
60 kgOlds
26
54 kgMelchers
28
59 kgMajerus
29
56 kgKashchyshyna
31
53 kgCanuel
32
51 kgBrammeier
34
60 kgNumainville
35
65 kgJasinska
46
57 kgBrennauer
48
63 kgMartin
53
57 kgWhitten
54
67 kgHannes
57
51 kgDe Groot
61
56 kg
Weight (KG) →
Result →
67
51
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Kristin | 58 |
| 3 | DEIGNAN Elizabeth | 57 |
| 4 | SOEDER Christiane | 52 |
| 6 | VYSOTSKA Ievgeniia | 55 |
| 7 | LAWS Sharon | 54 |
| 10 | LICHTENBERG Claudia | 52 |
| 11 | CHEATLEY Catherine | 64 |
| 12 | STEVENS Evelyn | 55 |
| 18 | HENRION Ludivine | 60 |
| 26 | OLDS Shelley | 54 |
| 28 | MELCHERS Mirjam | 59 |
| 29 | MAJERUS Christine | 56 |
| 31 | KASHCHYSHYNA Oksana | 53 |
| 32 | CANUEL Karol-Ann | 51 |
| 34 | BRAMMEIER Nikki | 60 |
| 35 | NUMAINVILLE Joëlle | 65 |
| 46 | JASINSKA Małgorzata | 57 |
| 48 | BRENNAUER Lisa | 63 |
| 53 | MARTIN Lucy | 57 |
| 54 | WHITTEN Tara | 67 |
| 57 | HANNES Kaat | 51 |
| 61 | DE GROOT Robyn | 56 |