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 - 17
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Slappendel
3
67 kgHenrion
6
60 kgBeveridge
8
55 kgAbbott
10
52 kgSels
11
65 kgGilmore
12
56 kgFahlin
14
63 kgMajerus
16
56 kgDeignan
18
57 kgGuarnier
21
54 kgJohansson
28
58 kgEnsing
29
62 kgvan der Breggen
38
56 kgBrennauer
45
63 kgBoyarskaya
46
67 kgCordon-Ragot
54
60 kg
3
67 kgHenrion
6
60 kgBeveridge
8
55 kgAbbott
10
52 kgSels
11
65 kgGilmore
12
56 kgFahlin
14
63 kgMajerus
16
56 kgDeignan
18
57 kgGuarnier
21
54 kgJohansson
28
58 kgEnsing
29
62 kgvan der Breggen
38
56 kgBrennauer
45
63 kgBoyarskaya
46
67 kgCordon-Ragot
54
60 kg
Weight (KG) →
Result →
67
52
3
54
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SLAPPENDEL Iris | 67 |
| 6 | HENRION Ludivine | 60 |
| 8 | BEVERIDGE Julie | 55 |
| 10 | ABBOTT Mara | 52 |
| 11 | SELS Loes | 65 |
| 12 | GILMORE Rochelle | 56 |
| 14 | FAHLIN Emilia | 63 |
| 16 | MAJERUS Christine | 56 |
| 18 | DEIGNAN Elizabeth | 57 |
| 21 | GUARNIER Megan | 54 |
| 28 | JOHANSSON Emma | 58 |
| 29 | ENSING Janneke | 62 |
| 38 | VAN DER BREGGEN Anna | 56 |
| 45 | BRENNAUER Lisa | 63 |
| 46 | BOYARSKAYA Natalia | 67 |
| 54 | CORDON-RAGOT Audrey | 60 |