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 = 1.1 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Guarischi
1
57 kgWiebes
2
60 kgBastianelli
6
60 kgSchweinberger
7
67 kgKasper
9
59 kgKopecky
10
66 kgLach
12
59 kgArzuffi
13
52 kgAlvarado
14
51 kgDe Wilde
15
62 kgvan Alphen
16
51 kgBujak
18
63 kgGerritse
20
59 kgFouquenet
29
60 kgSüßemilch
34
67 kgCampbell
41
63 kgNilsson
43
58 kgCant
47
57 kgMissiaggia
56
54 kgBaker
67
66 kgLudwig
68
55 kgPolites
78
59 kgKröger
79
77 kg
1
57 kgWiebes
2
60 kgBastianelli
6
60 kgSchweinberger
7
67 kgKasper
9
59 kgKopecky
10
66 kgLach
12
59 kgArzuffi
13
52 kgAlvarado
14
51 kgDe Wilde
15
62 kgvan Alphen
16
51 kgBujak
18
63 kgGerritse
20
59 kgFouquenet
29
60 kgSüßemilch
34
67 kgCampbell
41
63 kgNilsson
43
58 kgCant
47
57 kgMissiaggia
56
54 kgBaker
67
66 kgLudwig
68
55 kgPolites
78
59 kgKröger
79
77 kg
Weight (KG) →
Result →
77
51
1
79
# | Rider | Weight (KG) |
---|---|---|
1 | GUARISCHI Barbara | 57 |
2 | WIEBES Lorena | 60 |
6 | BASTIANELLI Marta | 60 |
7 | SCHWEINBERGER Christina | 67 |
9 | KASPER Romy | 59 |
10 | KOPECKY Lotte | 66 |
12 | LACH Marta | 59 |
13 | ARZUFFI Alice Maria | 52 |
14 | ALVARADO Ceylin del Carmen | 51 |
15 | DE WILDE Julie | 62 |
16 | VAN ALPHEN Aniek | 51 |
18 | BUJAK Eugenia | 63 |
20 | GERRITSE Femke | 59 |
29 | FOUQUENET Amandine | 60 |
34 | SÜßEMILCH Laura | 67 |
41 | CAMPBELL Teniel | 63 |
43 | NILSSON Hanna | 58 |
47 | CANT Sanne | 57 |
56 | MISSIAGGIA Alessia | 54 |
67 | BAKER Georgia | 66 |
68 | LUDWIG Hannah | 55 |
78 | POLITES Alyssa | 59 |
79 | KRÖGER Mieke | 77 |