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 = -1.2 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Barbieri
2
55 kgWiebes
3
60 kgSanguineti
4
61 kgSkalniak-Sójka
11
54 kgvan Houtum
12
55 kgAndres
17
62 kgBerton
20
59 kgTruyen
24
55 kgVandenbulcke
29
60 kgBreck
31
59 kgMeijering
33
54 kgLópez
42
67 kgvan Alphen
56
51 kgDemey
60
56 kgTacey
63
62 kgvan der Molen
66
58 kgPeeters
71
54 kgvan Neck
80
63 kgvan Agt
90
54 kgPikulik
109
54 kg
2
55 kgWiebes
3
60 kgSanguineti
4
61 kgSkalniak-Sójka
11
54 kgvan Houtum
12
55 kgAndres
17
62 kgBerton
20
59 kgTruyen
24
55 kgVandenbulcke
29
60 kgBreck
31
59 kgMeijering
33
54 kgLópez
42
67 kgvan Alphen
56
51 kgDemey
60
56 kgTacey
63
62 kgvan der Molen
66
58 kgPeeters
71
54 kgvan Neck
80
63 kgvan Agt
90
54 kgPikulik
109
54 kg
Weight (KG) →
Result →
67
51
2
109
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARBIERI Rachele | 55 |
| 3 | WIEBES Lorena | 60 |
| 4 | SANGUINETI Ilaria | 61 |
| 11 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 12 | VAN HOUTUM Céline | 55 |
| 17 | ANDRES Michelle | 62 |
| 20 | BERTON Nina | 59 |
| 24 | TRUYEN Marthe | 55 |
| 29 | VANDENBULCKE Jesse | 60 |
| 31 | BRECK Holly | 59 |
| 33 | MEIJERING Mareille | 54 |
| 42 | LÓPEZ Marga | 67 |
| 56 | VAN ALPHEN Aniek | 51 |
| 60 | DEMEY Valerie | 56 |
| 63 | TACEY April | 62 |
| 66 | VAN DER MOLEN Yuli | 58 |
| 71 | PEETERS Jinse | 54 |
| 80 | VAN NECK Melissa | 63 |
| 90 | VAN AGT Eva | 54 |
| 109 | PIKULIK Daria | 54 |