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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Wiebes
2
60 kgKopecky
3
66 kgSchweinberger
5
67 kgAlvarado
7
51 kgvan Alphen
8
51 kgSüßemilch
9
67 kgKasper
11
59 kgGuarischi
15
57 kgBastianelli
16
60 kgFouquenet
19
60 kgGerritse
22
59 kgBujak
24
63 kgLach
27
59 kgArzuffi
28
52 kgCampbell
33
63 kgDe Wilde
37
62 kgCant
40
57 kgNilsson
42
58 kgLudwig
45
55 kgMissiaggia
51
53 kgBaker
53
66 kgPolites
80
59 kgKröger
82
77 kg
2
60 kgKopecky
3
66 kgSchweinberger
5
67 kgAlvarado
7
51 kgvan Alphen
8
51 kgSüßemilch
9
67 kgKasper
11
59 kgGuarischi
15
57 kgBastianelli
16
60 kgFouquenet
19
60 kgGerritse
22
59 kgBujak
24
63 kgLach
27
59 kgArzuffi
28
52 kgCampbell
33
63 kgDe Wilde
37
62 kgCant
40
57 kgNilsson
42
58 kgLudwig
45
55 kgMissiaggia
51
53 kgBaker
53
66 kgPolites
80
59 kgKröger
82
77 kg
Weight (KG) →
Result →
77
51
2
82
# | Rider | Weight (KG) |
---|---|---|
2 | WIEBES Lorena | 60 |
3 | KOPECKY Lotte | 66 |
5 | SCHWEINBERGER Christina | 67 |
7 | ALVARADO Ceylin del Carmen | 51 |
8 | VAN ALPHEN Aniek | 51 |
9 | SÜßEMILCH Laura | 67 |
11 | KASPER Romy | 59 |
15 | GUARISCHI Barbara | 57 |
16 | BASTIANELLI Marta | 60 |
19 | FOUQUENET Amandine | 60 |
22 | GERRITSE Femke | 59 |
24 | BUJAK Eugenia | 63 |
27 | LACH Marta | 59 |
28 | ARZUFFI Alice Maria | 52 |
33 | CAMPBELL Teniel | 63 |
37 | DE WILDE Julie | 62 |
40 | CANT Sanne | 57 |
42 | NILSSON Hanna | 58 |
45 | LUDWIG Hannah | 55 |
51 | MISSIAGGIA Alessia | 53 |
53 | BAKER Georgia | 66 |
80 | POLITES Alyssa | 59 |
82 | KRÖGER Mieke | 77 |