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 + 49
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
D'hoore
1
63 kgMackaij
2
57 kgCecchini
3
52 kgDuyck
6
60 kgEdmondson
7
66 kgde Vries
11
62 kgHosking
12
60 kgMustonen
16
58 kgBeckers
19
67 kgHoffmann
22
62 kgBastianelli
23
60 kgDemey
26
56 kgCant
28
57 kgDruyts
31
62 kgHannes
38
51 kgParra
39
58 kgRožlapa
56
63 kgVekemans
57
52 kgVerdonschot
66
52 kgMathiesen
74
71 kgMcNally - de Quint
80
56 kgRoberts
83
61 kg
1
63 kgMackaij
2
57 kgCecchini
3
52 kgDuyck
6
60 kgEdmondson
7
66 kgde Vries
11
62 kgHosking
12
60 kgMustonen
16
58 kgBeckers
19
67 kgHoffmann
22
62 kgBastianelli
23
60 kgDemey
26
56 kgCant
28
57 kgDruyts
31
62 kgHannes
38
51 kgParra
39
58 kgRožlapa
56
63 kgVekemans
57
52 kgVerdonschot
66
52 kgMathiesen
74
71 kgMcNally - de Quint
80
56 kgRoberts
83
61 kg
Weight (KG) →
Result →
71
51
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | MACKAIJ Floortje | 57 |
| 3 | CECCHINI Elena | 52 |
| 6 | DUYCK Ann-Sophie | 60 |
| 7 | EDMONDSON Annette | 66 |
| 11 | DE VRIES Marijn | 62 |
| 12 | HOSKING Chloe | 60 |
| 16 | MUSTONEN Sara | 58 |
| 19 | BECKERS Isabelle | 67 |
| 22 | HOFFMANN Chantal | 62 |
| 23 | BASTIANELLI Marta | 60 |
| 26 | DEMEY Valerie | 56 |
| 28 | CANT Sanne | 57 |
| 31 | DRUYTS Kelly | 62 |
| 38 | HANNES Kaat | 51 |
| 39 | PARRA Jessica Marcela | 58 |
| 56 | ROŽLAPA Dana | 63 |
| 57 | VEKEMANS Anisha | 52 |
| 66 | VERDONSCHOT Laura | 52 |
| 74 | MATHIESEN Pernille | 71 |
| 80 | MCNALLY - DE QUINT Pia | 56 |
| 83 | ROBERTS Amy | 61 |