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 - 4
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Hosking
3
60 kgBastianelli
4
60 kgMustonen
7
58 kgMackaij
8
57 kgD'hoore
16
63 kgCant
18
57 kgDemey
21
56 kgDruyts
22
62 kgCecchini
28
52 kgde Vries
36
62 kgDuyck
39
60 kgHannes
48
51 kgBeckers
59
67 kgVerdonschot
63
52 kgRožlapa
64
63 kgParra
67
58 kgEdmondson
70
66 kgHoffmann
71
62 kgMathiesen
74
71 kgVekemans
76
52 kgMcNally - de Quint
79
56 kgRoberts
83
61 kg
3
60 kgBastianelli
4
60 kgMustonen
7
58 kgMackaij
8
57 kgD'hoore
16
63 kgCant
18
57 kgDemey
21
56 kgDruyts
22
62 kgCecchini
28
52 kgde Vries
36
62 kgDuyck
39
60 kgHannes
48
51 kgBeckers
59
67 kgVerdonschot
63
52 kgRožlapa
64
63 kgParra
67
58 kgEdmondson
70
66 kgHoffmann
71
62 kgMathiesen
74
71 kgVekemans
76
52 kgMcNally - de Quint
79
56 kgRoberts
83
61 kg
Weight (KG) →
Result →
71
51
3
83
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOSKING Chloe | 60 |
| 4 | BASTIANELLI Marta | 60 |
| 7 | MUSTONEN Sara | 58 |
| 8 | MACKAIJ Floortje | 57 |
| 16 | D'HOORE Jolien | 63 |
| 18 | CANT Sanne | 57 |
| 21 | DEMEY Valerie | 56 |
| 22 | DRUYTS Kelly | 62 |
| 28 | CECCHINI Elena | 52 |
| 36 | DE VRIES Marijn | 62 |
| 39 | DUYCK Ann-Sophie | 60 |
| 48 | HANNES Kaat | 51 |
| 59 | BECKERS Isabelle | 67 |
| 63 | VERDONSCHOT Laura | 52 |
| 64 | ROŽLAPA Dana | 63 |
| 67 | PARRA Jessica Marcela | 58 |
| 70 | EDMONDSON Annette | 66 |
| 71 | HOFFMANN Chantal | 62 |
| 74 | MATHIESEN Pernille | 71 |
| 76 | VEKEMANS Anisha | 52 |
| 79 | MCNALLY - DE QUINT Pia | 56 |
| 83 | ROBERTS Amy | 61 |