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 = 4.7 * weight - 226
This means that on average for every extra kilogram weight a rider loses 4.7 positions in the result.
Truyen
3
55 kgDocx
4
52 kgvan Houtum
6
55 kgVerdonschot
12
52 kgCant
18
57 kgMeijering
19
54 kgvan Alphen
22
51 kgLooser
34
57 kgBrouckaert
40
55 kgLaurance
54
62 kgvan der Molen
57
58 kgRijkes
64
57 kgSüßemilch
76
67 kgde Baat
77
56 kgSchweinberger
78
67 kgVandenbroucke
80
63 kgMoonen
83
56 kgDruyts
96
62 kg
3
55 kgDocx
4
52 kgvan Houtum
6
55 kgVerdonschot
12
52 kgCant
18
57 kgMeijering
19
54 kgvan Alphen
22
51 kgLooser
34
57 kgBrouckaert
40
55 kgLaurance
54
62 kgvan der Molen
57
58 kgRijkes
64
57 kgSüßemilch
76
67 kgde Baat
77
56 kgSchweinberger
78
67 kgVandenbroucke
80
63 kgMoonen
83
56 kgDruyts
96
62 kg
Weight (KG) →
Result →
67
51
3
96
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TRUYEN Marthe | 55 |
| 4 | DOCX Mieke | 52 |
| 6 | VAN HOUTUM Céline | 55 |
| 12 | VERDONSCHOT Laura | 52 |
| 18 | CANT Sanne | 57 |
| 19 | MEIJERING Mareille | 54 |
| 22 | VAN ALPHEN Aniek | 51 |
| 34 | LOOSER Vera | 57 |
| 40 | BROUCKAERT Sophie | 55 |
| 54 | LAURANCE Typhaine | 62 |
| 57 | VAN DER MOLEN Yuli | 58 |
| 64 | RIJKES Sarah | 57 |
| 76 | SÜßEMILCH Laura | 67 |
| 77 | DE BAAT Kim | 56 |
| 78 | SCHWEINBERGER Christina | 67 |
| 80 | VANDENBROUCKE Saartje | 63 |
| 83 | MOONEN Puck | 56 |
| 96 | DRUYTS Kelly | 62 |