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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Slappendel
1
67 kgVos
2
58 kgvan Vleuten
3
59 kgGunnewijk
4
67 kgAmialiusik
5
53 kgvan der Breggen
6
56 kgSpratt
7
55 kgJasinska
8
57 kgFrapporti
10
63 kgVisser
11
59 kgGuarischi
15
57 kgStultiens
16
58 kgGuderzo
17
54 kgPintar
18
56 kgBaccaille
24
61 kgElvin
26
63 kgHanselmann
27
55 kgValsecchi
29
58 kgBastianelli
32
60 kg
1
67 kgVos
2
58 kgvan Vleuten
3
59 kgGunnewijk
4
67 kgAmialiusik
5
53 kgvan der Breggen
6
56 kgSpratt
7
55 kgJasinska
8
57 kgFrapporti
10
63 kgVisser
11
59 kgGuarischi
15
57 kgStultiens
16
58 kgGuderzo
17
54 kgPintar
18
56 kgBaccaille
24
61 kgElvin
26
63 kgHanselmann
27
55 kgValsecchi
29
58 kgBastianelli
32
60 kg
Weight (KG) →
Result →
67
53
1
32
# | Rider | Weight (KG) |
---|---|---|
1 | SLAPPENDEL Iris | 67 |
2 | VOS Marianne | 58 |
3 | VAN VLEUTEN Annemiek | 59 |
4 | GUNNEWIJK Loes | 67 |
5 | AMIALIUSIK Alena | 53 |
6 | VAN DER BREGGEN Anna | 56 |
7 | SPRATT Amanda | 55 |
8 | JASINSKA Małgorzata | 57 |
10 | FRAPPORTI Simona | 63 |
11 | VISSER Adrie | 59 |
15 | GUARISCHI Barbara | 57 |
16 | STULTIENS Sabrina | 58 |
17 | GUDERZO Tatiana | 54 |
18 | PINTAR Urška | 56 |
24 | BACCAILLE Monia | 61 |
26 | ELVIN Gracie | 63 |
27 | HANSELMANN Nicole | 55 |
29 | VALSECCHI Silvia | 58 |
32 | BASTIANELLI Marta | 60 |