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 = 0.1 * weight + 43
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Consonni
1
59 kgPikulik
3
54 kgDideriksen
6
62 kgDe Wilde
10
62 kgBeuling
13
65 kgTruyen
15
55 kgVandenbulcke
17
60 kgKuijpers
26
73 kgLewis
30
67 kgLópez
34
67 kgCordon-Ragot
45
60 kgGort
46
57 kgVan Mechelen
48
61 kgAndersen
53
55 kgVerdonschot
54
52 kgConfalonieri
59
56 kgSüßemilch
86
67 kgBroughton
90
60 kgvan Bokhoven
103
51 kgNorman Leth
120
68 kgDruyts
121
62 kg
1
59 kgPikulik
3
54 kgDideriksen
6
62 kgDe Wilde
10
62 kgBeuling
13
65 kgTruyen
15
55 kgVandenbulcke
17
60 kgKuijpers
26
73 kgLewis
30
67 kgLópez
34
67 kgCordon-Ragot
45
60 kgGort
46
57 kgVan Mechelen
48
61 kgAndersen
53
55 kgVerdonschot
54
52 kgConfalonieri
59
56 kgSüßemilch
86
67 kgBroughton
90
60 kgvan Bokhoven
103
51 kgNorman Leth
120
68 kgDruyts
121
62 kg
Weight (KG) →
Result →
73
51
1
121
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONSONNI Chiara | 59 |
| 3 | PIKULIK Daria | 54 |
| 6 | DIDERIKSEN Amalie | 62 |
| 10 | DE WILDE Julie | 62 |
| 13 | BEULING Femke | 65 |
| 15 | TRUYEN Marthe | 55 |
| 17 | VANDENBULCKE Jesse | 60 |
| 26 | KUIJPERS Evy | 73 |
| 30 | LEWIS Sophie | 67 |
| 34 | LÓPEZ Marga | 67 |
| 45 | CORDON-RAGOT Audrey | 60 |
| 46 | GORT Femke | 57 |
| 48 | VAN MECHELEN Gloria | 61 |
| 53 | ANDERSEN Susanne | 55 |
| 54 | VERDONSCHOT Laura | 52 |
| 59 | CONFALONIERI Maria Giulia | 56 |
| 86 | SÜßEMILCH Laura | 67 |
| 90 | BROUGHTON Charlotte | 60 |
| 103 | VAN BOKHOVEN Julia | 51 |
| 120 | NORMAN LETH Julie | 68 |
| 121 | DRUYTS Kelly | 62 |