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 + 69
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Lichtenberg
2
52 kgPaladin
3
59 kgPitel
4
52 kgMarkus
10
61 kgRooijakkers
12
58 kgRitter
13
59 kgVysotska
17
55 kgTenniglo
18
64 kgConfalonieri
20
56 kgArzuffi
21
52 kgVekemans
23
52 kgPavlukhina
24
68 kgBertizzolo
31
54 kgKorevaar
32
59 kgRagažinskienė
36
58 kgVieceli
39
59 kgParkinson
40
51 kgChristoforou
41
53 kgDemey
43
56 kgRijkes
44
57 kgErić
49
53 kgKastelijn
57
52 kg
2
52 kgPaladin
3
59 kgPitel
4
52 kgMarkus
10
61 kgRooijakkers
12
58 kgRitter
13
59 kgVysotska
17
55 kgTenniglo
18
64 kgConfalonieri
20
56 kgArzuffi
21
52 kgVekemans
23
52 kgPavlukhina
24
68 kgBertizzolo
31
54 kgKorevaar
32
59 kgRagažinskienė
36
58 kgVieceli
39
59 kgParkinson
40
51 kgChristoforou
41
53 kgDemey
43
56 kgRijkes
44
57 kgErić
49
53 kgKastelijn
57
52 kg
Weight (KG) →
Result →
68
51
2
57
# | Rider | Weight (KG) |
---|---|---|
2 | LICHTENBERG Claudia | 52 |
3 | PALADIN Soraya | 59 |
4 | PITEL Edwige | 52 |
10 | MARKUS Riejanne | 61 |
12 | ROOIJAKKERS Pauliena | 58 |
13 | RITTER Martina | 59 |
17 | VYSOTSKA Ievgeniia | 55 |
18 | TENNIGLO Moniek | 64 |
20 | CONFALONIERI Maria Giulia | 56 |
21 | ARZUFFI Alice Maria | 52 |
23 | VEKEMANS Anisha | 52 |
24 | PAVLUKHINA Olena | 68 |
31 | BERTIZZOLO Sofia | 54 |
32 | KOREVAAR Jeanne | 59 |
36 | RAGAŽINSKIENĖ Daiva | 58 |
39 | VIECELI Lara | 59 |
40 | PARKINSON Abby-Mae | 51 |
41 | CHRISTOFOROU Antri | 53 |
43 | DEMEY Valerie | 56 |
44 | RIJKES Sarah | 57 |
49 | ERIĆ Jelena | 53 |
57 | KASTELIJN Yara | 52 |