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 = 0.5 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jasinska
1
57 kgScandolara
2
52 kgvan Vleuten
3
59 kgRagazinskiene
4
58 kgConfalonieri
5
56 kgPitel
7
52 kgBoyarskaya
8
67 kgAntoshina
10
55 kgSlappendel
12
67 kgBastianelli
14
60 kgTrevisi
16
54 kgVysotska
17
55 kgRijkes
23
57 kgVieceli
30
59 kgKoedooder
35
69 kgHanselmann
38
55 kgHenttala
41
58 kgParra
42
58 kg
1
57 kgScandolara
2
52 kgvan Vleuten
3
59 kgRagazinskiene
4
58 kgConfalonieri
5
56 kgPitel
7
52 kgBoyarskaya
8
67 kgAntoshina
10
55 kgSlappendel
12
67 kgBastianelli
14
60 kgTrevisi
16
54 kgVysotska
17
55 kgRijkes
23
57 kgVieceli
30
59 kgKoedooder
35
69 kgHanselmann
38
55 kgHenttala
41
58 kgParra
42
58 kg
Weight (KG) →
Result →
69
52
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JASINSKA Małgorzata | 57 |
| 2 | SCANDOLARA Valentina | 52 |
| 3 | VAN VLEUTEN Annemiek | 59 |
| 4 | RAGAZINSKIENE Daiva | 58 |
| 5 | CONFALONIERI Maria Giulia | 56 |
| 7 | PITEL Edwige | 52 |
| 8 | BOYARSKAYA Natalia | 67 |
| 10 | ANTOSHINA Tatiana | 55 |
| 12 | SLAPPENDEL Iris | 67 |
| 14 | BASTIANELLI Marta | 60 |
| 16 | TREVISI Anna | 54 |
| 17 | VYSOTSKA Ievgeniia | 55 |
| 23 | RIJKES Sarah | 57 |
| 30 | VIECELI Lara | 59 |
| 35 | KOEDOODER Vera | 69 |
| 38 | HANSELMANN Nicole | 55 |
| 41 | HENTTALA Lotta | 58 |
| 42 | PARRA Jessica Marcela | 58 |