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 = -2.4 * weight + 185
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Dideriksen
1
62 kgMartins
4
61 kgGreenwood
5
60 kgLewis
10
67 kgNorman Leth
13
68 kgvan Alphen
20
51 kgLópez
22
67 kgvan Houtum
24
55 kgSüßemilch
41
67 kgRoberts
47
60 kgGafinovitz
55
52 kgvan der Molen
62
58 kgFranz
64
52 kgLee
69
53 kgPisciali
72
63 kgDruyts
81
62 kgScott
84
60 kgBrouckaert
91
55 kgBarnes
96
52 kg
1
62 kgMartins
4
61 kgGreenwood
5
60 kgLewis
10
67 kgNorman Leth
13
68 kgvan Alphen
20
51 kgLópez
22
67 kgvan Houtum
24
55 kgSüßemilch
41
67 kgRoberts
47
60 kgGafinovitz
55
52 kgvan der Molen
62
58 kgFranz
64
52 kgLee
69
53 kgPisciali
72
63 kgDruyts
81
62 kgScott
84
60 kgBrouckaert
91
55 kgBarnes
96
52 kg
Weight (KG) →
Result →
68
51
1
96
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIDERIKSEN Amalie | 62 |
| 4 | MARTINS Maria | 61 |
| 5 | GREENWOOD Monica | 60 |
| 10 | LEWIS Sophie | 67 |
| 13 | NORMAN LETH Julie | 68 |
| 20 | VAN ALPHEN Aniek | 51 |
| 22 | LÓPEZ Marga | 67 |
| 24 | VAN HOUTUM Céline | 55 |
| 41 | SÜßEMILCH Laura | 67 |
| 47 | ROBERTS Jessica | 60 |
| 55 | GAFINOVITZ Rotem | 52 |
| 62 | VAN DER MOLEN Yuli | 58 |
| 64 | FRANZ Heidi | 52 |
| 69 | LEE Lucy | 53 |
| 72 | PISCIALI Francesca | 63 |
| 81 | DRUYTS Kelly | 62 |
| 84 | SCOTT Katie | 60 |
| 91 | BROUCKAERT Sophie | 55 |
| 96 | BARNES Hannah | 52 |