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 = 0.8 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Wiebes
1
60 kgBoogaard
4
59 kgMajerus
7
56 kgPikulik
10
54 kgJackson
11
63 kgBarbieri
20
55 kgSanguineti
24
61 kgFranz
25
52 kgHenttala
26
58 kgDemey
30
56 kgBastiaenssen
35
62 kgGonzález
38
51 kgTacey
45
62 kgBeuling
50
65 kgKessler
57
60 kgVitillo
60
51 kgGerritse
68
59 kgVerdonschot
78
52 kgSels
79
65 kgWood
80
59 kgPolites
93
59 kgBolks
95
60 kg
1
60 kgBoogaard
4
59 kgMajerus
7
56 kgPikulik
10
54 kgJackson
11
63 kgBarbieri
20
55 kgSanguineti
24
61 kgFranz
25
52 kgHenttala
26
58 kgDemey
30
56 kgBastiaenssen
35
62 kgGonzález
38
51 kgTacey
45
62 kgBeuling
50
65 kgKessler
57
60 kgVitillo
60
51 kgGerritse
68
59 kgVerdonschot
78
52 kgSels
79
65 kgWood
80
59 kgPolites
93
59 kgBolks
95
60 kg
Weight (KG) →
Result →
65
51
1
95
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 4 | BOOGAARD Maaike | 59 |
| 7 | MAJERUS Christine | 56 |
| 10 | PIKULIK Daria | 54 |
| 11 | JACKSON Alison | 63 |
| 20 | BARBIERI Rachele | 55 |
| 24 | SANGUINETI Ilaria | 61 |
| 25 | FRANZ Heidi | 52 |
| 26 | HENTTALA Lotta | 58 |
| 30 | DEMEY Valerie | 56 |
| 35 | BASTIAENSSEN Fauve | 62 |
| 38 | GONZÁLEZ Alicia | 51 |
| 45 | TACEY April | 62 |
| 50 | BEULING Femke | 65 |
| 57 | KESSLER Nina | 60 |
| 60 | VITILLO Matilde | 51 |
| 68 | GERRITSE Femke | 59 |
| 78 | VERDONSCHOT Laura | 52 |
| 79 | SELS Loes | 65 |
| 80 | WOOD Alice | 59 |
| 93 | POLITES Alyssa | 59 |
| 95 | BOLKS Florien | 60 |