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 = 0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Amialiusik
1
53 kgPavlukhina
3
68 kgMarche
4
58 kgVekemans
5
52 kgBrzeźna
7
56 kgMathiesen
8
71 kgCecchini
9
52 kgZabelinskaya
10
52 kgPitel
13
52 kgAllen
15
55 kgDuyck
16
60 kgGafinovitz
17
52 kgHanselmann
18
55 kgGuarischi
20
57 kgAntoshina
21
55 kgBatagelj
22
53 kgKröger
27
77 kgRitter
28
59 kgBarnes
29
52 kg
1
53 kgPavlukhina
3
68 kgMarche
4
58 kgVekemans
5
52 kgBrzeźna
7
56 kgMathiesen
8
71 kgCecchini
9
52 kgZabelinskaya
10
52 kgPitel
13
52 kgAllen
15
55 kgDuyck
16
60 kgGafinovitz
17
52 kgHanselmann
18
55 kgGuarischi
20
57 kgAntoshina
21
55 kgBatagelj
22
53 kgKröger
27
77 kgRitter
28
59 kgBarnes
29
52 kg
Weight (KG) →
Result →
77
52
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMIALIUSIK Alena | 53 |
| 3 | PAVLUKHINA Olena | 68 |
| 4 | MARCHE Shara | 58 |
| 5 | VEKEMANS Anisha | 52 |
| 7 | BRZEŹNA Paulina | 56 |
| 8 | MATHIESEN Pernille | 71 |
| 9 | CECCHINI Elena | 52 |
| 10 | ZABELINSKAYA Olga | 52 |
| 13 | PITEL Edwige | 52 |
| 15 | ALLEN Jessica | 55 |
| 16 | DUYCK Ann-Sophie | 60 |
| 17 | GAFINOVITZ Rotem | 52 |
| 18 | HANSELMANN Nicole | 55 |
| 20 | GUARISCHI Barbara | 57 |
| 21 | ANTOSHINA Tatiana | 55 |
| 22 | BATAGELJ Polona | 53 |
| 27 | KRÖGER Mieke | 77 |
| 28 | RITTER Martina | 59 |
| 29 | BARNES Hannah | 52 |