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 + 6
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Wiebes
1
60 kgPikulik
3
54 kgHenttala
8
58 kgBarbieri
13
55 kgTacey
17
62 kgBoogaard
26
59 kgSanguineti
33
61 kgBastiaenssen
34
62 kgMajerus
37
56 kgDemey
40
56 kgGonzález
41
51 kgFranz
43
52 kgJackson
46
63 kgGerritse
58
59 kgKessler
62
60 kgWood
63
59 kgVitillo
67
51 kgBeuling
71
65 kgSels
81
65 kgVerdonschot
92
52 kgBolks
106
60 kgPolites
110
59 kg
1
60 kgPikulik
3
54 kgHenttala
8
58 kgBarbieri
13
55 kgTacey
17
62 kgBoogaard
26
59 kgSanguineti
33
61 kgBastiaenssen
34
62 kgMajerus
37
56 kgDemey
40
56 kgGonzález
41
51 kgFranz
43
52 kgJackson
46
63 kgGerritse
58
59 kgKessler
62
60 kgWood
63
59 kgVitillo
67
51 kgBeuling
71
65 kgSels
81
65 kgVerdonschot
92
52 kgBolks
106
60 kgPolites
110
59 kg
Weight (KG) →
Result →
65
51
1
110
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 3 | PIKULIK Daria | 54 |
| 8 | HENTTALA Lotta | 58 |
| 13 | BARBIERI Rachele | 55 |
| 17 | TACEY April | 62 |
| 26 | BOOGAARD Maaike | 59 |
| 33 | SANGUINETI Ilaria | 61 |
| 34 | BASTIAENSSEN Fauve | 62 |
| 37 | MAJERUS Christine | 56 |
| 40 | DEMEY Valerie | 56 |
| 41 | GONZÁLEZ Alicia | 51 |
| 43 | FRANZ Heidi | 52 |
| 46 | JACKSON Alison | 63 |
| 58 | GERRITSE Femke | 59 |
| 62 | KESSLER Nina | 60 |
| 63 | WOOD Alice | 59 |
| 67 | VITILLO Matilde | 51 |
| 71 | BEULING Femke | 65 |
| 81 | SELS Loes | 65 |
| 92 | VERDONSCHOT Laura | 52 |
| 106 | BOLKS Florien | 60 |
| 110 | POLITES Alyssa | 59 |