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 - 28
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Kopecky
1
66 kgWiebes
2
60 kgLach
5
59 kgBastianelli
8
60 kgKasper
11
59 kgDe Wilde
12
62 kgAlvarado
13
51 kgSchweinberger
16
67 kgvan Alphen
18
51 kgArzuffi
19
52 kgBujak
22
63 kgGerritse
28
59 kgNilsson
34
58 kgSüßemilch
37
67 kgCampbell
42
63 kgMissiaggia
54
53 kgBaker
55
66 kgFouquenet
60
60 kgGuarischi
68
57 kgKröger
71
77 kg
1
66 kgWiebes
2
60 kgLach
5
59 kgBastianelli
8
60 kgKasper
11
59 kgDe Wilde
12
62 kgAlvarado
13
51 kgSchweinberger
16
67 kgvan Alphen
18
51 kgArzuffi
19
52 kgBujak
22
63 kgGerritse
28
59 kgNilsson
34
58 kgSüßemilch
37
67 kgCampbell
42
63 kgMissiaggia
54
53 kgBaker
55
66 kgFouquenet
60
60 kgGuarischi
68
57 kgKröger
71
77 kg
Weight (KG) →
Result →
77
51
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | WIEBES Lorena | 60 |
| 5 | LACH Marta | 59 |
| 8 | BASTIANELLI Marta | 60 |
| 11 | KASPER Romy | 59 |
| 12 | DE WILDE Julie | 62 |
| 13 | ALVARADO Ceylin del Carmen | 51 |
| 16 | SCHWEINBERGER Christina | 67 |
| 18 | VAN ALPHEN Aniek | 51 |
| 19 | ARZUFFI Alice Maria | 52 |
| 22 | BUJAK Eugenia | 63 |
| 28 | GERRITSE Femke | 59 |
| 34 | NILSSON Hanna | 58 |
| 37 | SÜßEMILCH Laura | 67 |
| 42 | CAMPBELL Teniel | 63 |
| 54 | MISSIAGGIA Alessia | 53 |
| 55 | BAKER Georgia | 66 |
| 60 | FOUQUENET Amandine | 60 |
| 68 | GUARISCHI Barbara | 57 |
| 71 | KRÖGER Mieke | 77 |