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 = -1.4 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Pikulik
2
54 kgSanguineti
4
61 kgHenttala
5
58 kgBarbieri
6
55 kgWiebes
8
60 kgBeuling
13
65 kgBoogaard
15
59 kgGonzález
25
51 kgCordon-Ragot
39
60 kgBastiaenssen
43
62 kgJackson
44
63 kgPeeters
46
54 kgKessler
49
60 kgBolks
51
60 kgSels
57
65 kgTacey
59
62 kgVerdonschot
67
52 kgMajerus
69
56 kgFranz
74
52 kgVitillo
82
51 kgPolites
91
59 kgOlsen
98
56 kgWood
110
59 kgDemey
116
56 kgGerritse
118
59 kg
2
54 kgSanguineti
4
61 kgHenttala
5
58 kgBarbieri
6
55 kgWiebes
8
60 kgBeuling
13
65 kgBoogaard
15
59 kgGonzález
25
51 kgCordon-Ragot
39
60 kgBastiaenssen
43
62 kgJackson
44
63 kgPeeters
46
54 kgKessler
49
60 kgBolks
51
60 kgSels
57
65 kgTacey
59
62 kgVerdonschot
67
52 kgMajerus
69
56 kgFranz
74
52 kgVitillo
82
51 kgPolites
91
59 kgOlsen
98
56 kgWood
110
59 kgDemey
116
56 kgGerritse
118
59 kg
Weight (KG) →
Result →
65
51
2
118
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PIKULIK Daria | 54 |
| 4 | SANGUINETI Ilaria | 61 |
| 5 | HENTTALA Lotta | 58 |
| 6 | BARBIERI Rachele | 55 |
| 8 | WIEBES Lorena | 60 |
| 13 | BEULING Femke | 65 |
| 15 | BOOGAARD Maaike | 59 |
| 25 | GONZÁLEZ Alicia | 51 |
| 39 | CORDON-RAGOT Audrey | 60 |
| 43 | BASTIAENSSEN Fauve | 62 |
| 44 | JACKSON Alison | 63 |
| 46 | PEETERS Jinse | 54 |
| 49 | KESSLER Nina | 60 |
| 51 | BOLKS Florien | 60 |
| 57 | SELS Loes | 65 |
| 59 | TACEY April | 62 |
| 67 | VERDONSCHOT Laura | 52 |
| 69 | MAJERUS Christine | 56 |
| 74 | FRANZ Heidi | 52 |
| 82 | VITILLO Matilde | 51 |
| 91 | POLITES Alyssa | 59 |
| 98 | OLSEN Elise Marie | 56 |
| 110 | WOOD Alice | 59 |
| 116 | DEMEY Valerie | 56 |
| 118 | GERRITSE Femke | 59 |