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 = 1.7 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Wiebes
1
60 kgBastianelli
2
60 kgLach
3
59 kgKasper
6
59 kgDe Wilde
7
62 kgKopecky
8
66 kgArzuffi
9
52 kgSchweinberger
10
67 kgBujak
11
63 kgvan Alphen
14
51 kgAlvarado
17
51 kgGerritse
22
59 kgNilsson
37
58 kgMissiaggia
52
54 kgCampbell
54
63 kgGuarischi
55
57 kgFouquenet
57
60 kgSüßemilch
65
67 kgBaker
67
66 kgKröger
81
77 kg
1
60 kgBastianelli
2
60 kgLach
3
59 kgKasper
6
59 kgDe Wilde
7
62 kgKopecky
8
66 kgArzuffi
9
52 kgSchweinberger
10
67 kgBujak
11
63 kgvan Alphen
14
51 kgAlvarado
17
51 kgGerritse
22
59 kgNilsson
37
58 kgMissiaggia
52
54 kgCampbell
54
63 kgGuarischi
55
57 kgFouquenet
57
60 kgSüßemilch
65
67 kgBaker
67
66 kgKröger
81
77 kg
Weight (KG) →
Result →
77
51
1
81
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
2 | BASTIANELLI Marta | 60 |
3 | LACH Marta | 59 |
6 | KASPER Romy | 59 |
7 | DE WILDE Julie | 62 |
8 | KOPECKY Lotte | 66 |
9 | ARZUFFI Alice Maria | 52 |
10 | SCHWEINBERGER Christina | 67 |
11 | BUJAK Eugenia | 63 |
14 | VAN ALPHEN Aniek | 51 |
17 | ALVARADO Ceylin del Carmen | 51 |
22 | GERRITSE Femke | 59 |
37 | NILSSON Hanna | 58 |
52 | MISSIAGGIA Alessia | 54 |
54 | CAMPBELL Teniel | 63 |
55 | GUARISCHI Barbara | 57 |
57 | FOUQUENET Amandine | 60 |
65 | SÜßEMILCH Laura | 67 |
67 | BAKER Georgia | 66 |
81 | KRÖGER Mieke | 77 |