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 = 1.2 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Wiebes
2
60 kgKopecky
3
66 kgSchweinberger
4
67 kgLach
6
59 kgAlvarado
8
51 kgvan Alphen
9
51 kgKasper
10
59 kgBastianelli
12
60 kgGerritse
15
59 kgBujak
17
63 kgArzuffi
19
52 kgSüßemilch
32
67 kgGuarischi
36
57 kgFouquenet
38
60 kgCampbell
40
63 kgDe Wilde
43
62 kgNilsson
44
58 kgCant
46
57 kgMissiaggia
53
53 kgBaker
55
66 kgPolites
79
59 kgKröger
81
77 kg
2
60 kgKopecky
3
66 kgSchweinberger
4
67 kgLach
6
59 kgAlvarado
8
51 kgvan Alphen
9
51 kgKasper
10
59 kgBastianelli
12
60 kgGerritse
15
59 kgBujak
17
63 kgArzuffi
19
52 kgSüßemilch
32
67 kgGuarischi
36
57 kgFouquenet
38
60 kgCampbell
40
63 kgDe Wilde
43
62 kgNilsson
44
58 kgCant
46
57 kgMissiaggia
53
53 kgBaker
55
66 kgPolites
79
59 kgKröger
81
77 kg
Weight (KG) →
Result →
77
51
2
81
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WIEBES Lorena | 60 |
| 3 | KOPECKY Lotte | 66 |
| 4 | 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 |
| 15 | GERRITSE Femke | 59 |
| 17 | BUJAK Eugenia | 63 |
| 19 | ARZUFFI Alice Maria | 52 |
| 32 | SÜßEMILCH Laura | 67 |
| 36 | GUARISCHI Barbara | 57 |
| 38 | FOUQUENET Amandine | 60 |
| 40 | CAMPBELL Teniel | 63 |
| 43 | DE WILDE Julie | 62 |
| 44 | NILSSON Hanna | 58 |
| 46 | CANT Sanne | 57 |
| 53 | MISSIAGGIA Alessia | 53 |
| 55 | BAKER Georgia | 66 |
| 79 | POLITES Alyssa | 59 |
| 81 | KRÖGER Mieke | 77 |