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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Ljungskog
1
57 kgStahurskaya
2
69 kgStiajkina
5
51 kgMelchers
7
59 kgCooke
8
58 kgPučinskaitė
9
54 kgSchleicher
12
58 kgVžesniauskaitė
13
57 kgValen
15
62 kgCarrigan
16
60 kgCantele
19
58 kgZabirova
27
65 kgVilajosana
33
57 kgMatusiak
38
58 kgDahle
50
64 kgValen
55
61 kgBloch-Davidov
64
59 kgFernandes Silva
85
52 kg
1
57 kgStahurskaya
2
69 kgStiajkina
5
51 kgMelchers
7
59 kgCooke
8
58 kgPučinskaitė
9
54 kgSchleicher
12
58 kgVžesniauskaitė
13
57 kgValen
15
62 kgCarrigan
16
60 kgCantele
19
58 kgZabirova
27
65 kgVilajosana
33
57 kgMatusiak
38
58 kgDahle
50
64 kgValen
55
61 kgBloch-Davidov
64
59 kgFernandes Silva
85
52 kg
Weight (KG) →
Result →
69
51
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGSKOG Susanne | 57 |
| 2 | STAHURSKAYA Zinaida | 69 |
| 5 | STIAJKINA Tatiana | 51 |
| 7 | MELCHERS Mirjam | 59 |
| 8 | COOKE Nicole | 58 |
| 9 | PUČINSKAITĖ Edita | 54 |
| 12 | SCHLEICHER Regina | 58 |
| 13 | VŽESNIAUSKAITĖ Modesta | 57 |
| 15 | VALEN Anita | 62 |
| 16 | CARRIGAN Sara | 60 |
| 19 | CANTELE Noemi | 58 |
| 27 | ZABIROVA Zulfiya | 65 |
| 33 | VILAJOSANA Marta | 57 |
| 38 | MATUSIAK Bogumiła | 58 |
| 50 | DAHLE Gunn-Rita | 64 |
| 55 | VALEN Monica | 61 |
| 64 | BLOCH-DAVIDOV Shani | 59 |
| 85 | FERNANDES SILVA Janildes | 52 |