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 = 0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Wiebes
1
60 kgBoogaard
4
59 kgMajerus
8
56 kgPikulik
16
54 kgJackson
19
63 kgHenttala
24
58 kgSanguineti
29
61 kgFranz
31
52 kgBarbieri
36
55 kgBeuling
39
65 kgBastiaenssen
42
62 kgDemey
45
56 kgGerritse
50
59 kgKessler
52
60 kgVitillo
55
51 kgGonzález
60
51 kgTacey
67
62 kgPolites
87
59 kgWood
91
59 kgVerdonschot
94
52 kgSels
95
65 kgBolks
98
60 kg
1
60 kgBoogaard
4
59 kgMajerus
8
56 kgPikulik
16
54 kgJackson
19
63 kgHenttala
24
58 kgSanguineti
29
61 kgFranz
31
52 kgBarbieri
36
55 kgBeuling
39
65 kgBastiaenssen
42
62 kgDemey
45
56 kgGerritse
50
59 kgKessler
52
60 kgVitillo
55
51 kgGonzález
60
51 kgTacey
67
62 kgPolites
87
59 kgWood
91
59 kgVerdonschot
94
52 kgSels
95
65 kgBolks
98
60 kg
Weight (KG) →
Result →
65
51
1
98
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 4 | BOOGAARD Maaike | 59 |
| 8 | MAJERUS Christine | 56 |
| 16 | PIKULIK Daria | 54 |
| 19 | JACKSON Alison | 63 |
| 24 | HENTTALA Lotta | 58 |
| 29 | SANGUINETI Ilaria | 61 |
| 31 | FRANZ Heidi | 52 |
| 36 | BARBIERI Rachele | 55 |
| 39 | BEULING Femke | 65 |
| 42 | BASTIAENSSEN Fauve | 62 |
| 45 | DEMEY Valerie | 56 |
| 50 | GERRITSE Femke | 59 |
| 52 | KESSLER Nina | 60 |
| 55 | VITILLO Matilde | 51 |
| 60 | GONZÁLEZ Alicia | 51 |
| 67 | TACEY April | 62 |
| 87 | POLITES Alyssa | 59 |
| 91 | WOOD Alice | 59 |
| 94 | VERDONSCHOT Laura | 52 |
| 95 | SELS Loes | 65 |
| 98 | BOLKS Florien | 60 |