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 = 1.3 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Kopecky
1
66 kgWiebes
2
60 kgSchweinberger
5
67 kgLach
6
59 kgAlvarado
8
51 kgvan Alphen
9
51 kgKasper
10
59 kgBastianelli
12
60 kgGerritse
14
59 kgBujak
16
63 kgArzuffi
18
52 kgDe Wilde
35
62 kgNilsson
36
58 kgSüßemilch
39
67 kgCampbell
40
63 kgGuarischi
49
57 kgFouquenet
51
60 kgMissiaggia
54
53 kgBaker
56
66 kgKröger
75
77 kg
1
66 kgWiebes
2
60 kgSchweinberger
5
67 kgLach
6
59 kgAlvarado
8
51 kgvan Alphen
9
51 kgKasper
10
59 kgBastianelli
12
60 kgGerritse
14
59 kgBujak
16
63 kgArzuffi
18
52 kgDe Wilde
35
62 kgNilsson
36
58 kgSüßemilch
39
67 kgCampbell
40
63 kgGuarischi
49
57 kgFouquenet
51
60 kgMissiaggia
54
53 kgBaker
56
66 kgKröger
75
77 kg
Weight (KG) →
Result →
77
51
1
75
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPECKY Lotte | 66 |
| 2 | WIEBES Lorena | 60 |
| 5 | SCHWEINBERGER Christina | 67 |
| 6 | LACH Marta | 59 |
| 8 | ALVARADO Ceylin del Carmen | 51 |
| 9 | VAN ALPHEN Aniek | 51 |
| 10 | KASPER Romy | 59 |
| 12 | BASTIANELLI Marta | 60 |
| 14 | GERRITSE Femke | 59 |
| 16 | BUJAK Eugenia | 63 |
| 18 | ARZUFFI Alice Maria | 52 |
| 35 | DE WILDE Julie | 62 |
| 36 | NILSSON Hanna | 58 |
| 39 | SÜßEMILCH Laura | 67 |
| 40 | CAMPBELL Teniel | 63 |
| 49 | GUARISCHI Barbara | 57 |
| 51 | FOUQUENET Amandine | 60 |
| 54 | MISSIAGGIA Alessia | 53 |
| 56 | BAKER Georgia | 66 |
| 75 | KRÖGER Mieke | 77 |