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 = 2.3 * weight - 93
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Kopecky
2
66 kgMustonen
3
58 kgMartin
5
57 kgPolspoel
6
59 kgEnsing
8
62 kgPenton
9
55 kgDruyts
12
62 kgHannes
16
51 kgVekemans
18
52 kgDemey
21
56 kgNilsson
26
58 kgCant
38
57 kgMcNally - de Quint
44
56 kgVerdonschot
59
52 kgStenberg
72
60 kgVandenbulcke
76
60 kgHoeke
77
55 kgde Vries
78
62 kgDuyck
80
60 kgBeckers
83
67 kgRooijakkers
88
58 kgHoffmann
92
62 kgRožlapa
110
63 kg
2
66 kgMustonen
3
58 kgMartin
5
57 kgPolspoel
6
59 kgEnsing
8
62 kgPenton
9
55 kgDruyts
12
62 kgHannes
16
51 kgVekemans
18
52 kgDemey
21
56 kgNilsson
26
58 kgCant
38
57 kgMcNally - de Quint
44
56 kgVerdonschot
59
52 kgStenberg
72
60 kgVandenbulcke
76
60 kgHoeke
77
55 kgde Vries
78
62 kgDuyck
80
60 kgBeckers
83
67 kgRooijakkers
88
58 kgHoffmann
92
62 kgRožlapa
110
63 kg
Weight (KG) →
Result →
67
51
2
110
# | Rider | Weight (KG) |
---|---|---|
2 | KOPECKY Lotte | 66 |
3 | MUSTONEN Sara | 58 |
5 | MARTIN Lucy | 57 |
6 | POLSPOEL Maaike | 59 |
8 | ENSING Janneke | 62 |
9 | PENTON Sara | 55 |
12 | DRUYTS Kelly | 62 |
16 | HANNES Kaat | 51 |
18 | VEKEMANS Anisha | 52 |
21 | DEMEY Valerie | 56 |
26 | NILSSON Hanna | 58 |
38 | CANT Sanne | 57 |
44 | MCNALLY - DE QUINT Pia | 56 |
59 | VERDONSCHOT Laura | 52 |
72 | STENBERG Anita | 60 |
76 | VANDENBULCKE Jesse | 60 |
77 | HOEKE Geerte | 55 |
78 | DE VRIES Marijn | 62 |
80 | DUYCK Ann-Sophie | 60 |
83 | BECKERS Isabelle | 67 |
88 | ROOIJAKKERS Pauliena | 58 |
92 | HOFFMANN Chantal | 62 |
110 | ROŽLAPA Dana | 63 |