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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Jasinska
1
57 kgScandolara
2
52 kgvan Vleuten
4
59 kgConfalonieri
5
56 kgRagažinskienė
6
58 kgAntoshina
8
55 kgBoyarskaya
9
67 kgPitel
10
52 kgSlappendel
11
67 kgVysotska
15
55 kgBastianelli
19
60 kgRijkes
26
57 kgTrevisi
29
54 kgVieceli
31
59 kgKoedooder
34
69 kgHanselmann
38
55 kgHenttala
41
58 kgParra
44
58 kg
1
57 kgScandolara
2
52 kgvan Vleuten
4
59 kgConfalonieri
5
56 kgRagažinskienė
6
58 kgAntoshina
8
55 kgBoyarskaya
9
67 kgPitel
10
52 kgSlappendel
11
67 kgVysotska
15
55 kgBastianelli
19
60 kgRijkes
26
57 kgTrevisi
29
54 kgVieceli
31
59 kgKoedooder
34
69 kgHanselmann
38
55 kgHenttala
41
58 kgParra
44
58 kg
Weight (KG) →
Result →
69
52
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JASINSKA Małgorzata | 57 |
| 2 | SCANDOLARA Valentina | 52 |
| 4 | VAN VLEUTEN Annemiek | 59 |
| 5 | CONFALONIERI Maria Giulia | 56 |
| 6 | RAGAŽINSKIENĖ Daiva | 58 |
| 8 | ANTOSHINA Tatiana | 55 |
| 9 | BOYARSKAYA Natalia | 67 |
| 10 | PITEL Edwige | 52 |
| 11 | SLAPPENDEL Iris | 67 |
| 15 | VYSOTSKA Ievgeniia | 55 |
| 19 | BASTIANELLI Marta | 60 |
| 26 | RIJKES Sarah | 57 |
| 29 | TREVISI Anna | 54 |
| 31 | VIECELI Lara | 59 |
| 34 | KOEDOODER Vera | 69 |
| 38 | HANSELMANN Nicole | 55 |
| 41 | HENTTALA Lotta | 58 |
| 44 | PARRA Jessica Marcela | 58 |