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 = -1.6 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Martisova
2
64 kgFernandes
4
54 kgSchachl
7
57 kgGilmore
11
56 kgBaccaille
14
61 kgJasinska
17
57 kgMustonen
23
58 kgRagazinskiene
25
58 kgAntoshina
28
55 kgKasper
33
59 kgHohl
34
55 kgAndruk
35
56 kgBrennauer
37
63 kgVžesniauskaitė
40
57 kgVilajosana
41
57 kgLichtenberg
43
52 kgFernandes Silva
53
52 kgCantele
66
58 kg
2
64 kgFernandes
4
54 kgSchachl
7
57 kgGilmore
11
56 kgBaccaille
14
61 kgJasinska
17
57 kgMustonen
23
58 kgRagazinskiene
25
58 kgAntoshina
28
55 kgKasper
33
59 kgHohl
34
55 kgAndruk
35
56 kgBrennauer
37
63 kgVžesniauskaitė
40
57 kgVilajosana
41
57 kgLichtenberg
43
52 kgFernandes Silva
53
52 kgCantele
66
58 kg
Weight (KG) →
Result →
64
52
2
66
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARTISOVA Julia | 64 |
| 4 | FERNANDES Clemilda | 54 |
| 7 | SCHACHL Monika | 57 |
| 11 | GILMORE Rochelle | 56 |
| 14 | BACCAILLE Monia | 61 |
| 17 | JASINSKA Małgorzata | 57 |
| 23 | MUSTONEN Sara | 58 |
| 25 | RAGAZINSKIENE Daiva | 58 |
| 28 | ANTOSHINA Tatiana | 55 |
| 33 | KASPER Romy | 59 |
| 34 | HOHL Jennifer | 55 |
| 35 | ANDRUK Alona | 56 |
| 37 | BRENNAUER Lisa | 63 |
| 40 | VŽESNIAUSKAITĖ Modesta | 57 |
| 41 | VILAJOSANA Marta | 57 |
| 43 | LICHTENBERG Claudia | 52 |
| 53 | FERNANDES SILVA Janildes | 52 |
| 66 | CANTELE Noemi | 58 |