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 = 1.4 * weight - 45
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Lach
2
59 kgSchweinberger
3
67 kgKopecky
4
66 kgWiebes
5
60 kgBastianelli
8
60 kgAlvarado
10
51 kgArzuffi
11
52 kgGerritse
13
59 kgKasper
16
59 kgvan Alphen
17
51 kgBujak
19
63 kgMissiaggia
45
54 kgSüßemilch
49
67 kgCampbell
51
63 kgPolites
57
59 kgBaker
65
66 kgGuarischi
66
57 kgNilsson
68
58 kgFouquenet
77
60 kgCant
83
57 kgDe Wilde
84
62 kgKröger
85
77 kg
2
59 kgSchweinberger
3
67 kgKopecky
4
66 kgWiebes
5
60 kgBastianelli
8
60 kgAlvarado
10
51 kgArzuffi
11
52 kgGerritse
13
59 kgKasper
16
59 kgvan Alphen
17
51 kgBujak
19
63 kgMissiaggia
45
54 kgSüßemilch
49
67 kgCampbell
51
63 kgPolites
57
59 kgBaker
65
66 kgGuarischi
66
57 kgNilsson
68
58 kgFouquenet
77
60 kgCant
83
57 kgDe Wilde
84
62 kgKröger
85
77 kg
Weight (KG) →
Result →
77
51
2
85
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACH Marta | 59 |
| 3 | SCHWEINBERGER Christina | 67 |
| 4 | KOPECKY Lotte | 66 |
| 5 | WIEBES Lorena | 60 |
| 8 | BASTIANELLI Marta | 60 |
| 10 | ALVARADO Ceylin del Carmen | 51 |
| 11 | ARZUFFI Alice Maria | 52 |
| 13 | GERRITSE Femke | 59 |
| 16 | KASPER Romy | 59 |
| 17 | VAN ALPHEN Aniek | 51 |
| 19 | BUJAK Eugenia | 63 |
| 45 | MISSIAGGIA Alessia | 54 |
| 49 | SÜßEMILCH Laura | 67 |
| 51 | CAMPBELL Teniel | 63 |
| 57 | POLITES Alyssa | 59 |
| 65 | BAKER Georgia | 66 |
| 66 | GUARISCHI Barbara | 57 |
| 68 | NILSSON Hanna | 58 |
| 77 | FOUQUENET Amandine | 60 |
| 83 | CANT Sanne | 57 |
| 84 | DE WILDE Julie | 62 |
| 85 | KRÖGER Mieke | 77 |