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 = -1.3 * weight + 96
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Stahurskaya
2
69 kgPučinskaitė
4
54 kgBonanomi
6
60 kgMelchers
8
59 kgDoppmann
11
55 kgMatusiak
14
58 kgReekie-may
15
53 kgVilajosana
17
57 kgSchleicher
24
58 kgCarrigan
27
60 kgMartisova
32
64 kgHohlfeld
36
57 kgValsecchi
38
58 kgFernandes Silva
54
52 kgBrzeźna
56
56 kg
2
69 kgPučinskaitė
4
54 kgBonanomi
6
60 kgMelchers
8
59 kgDoppmann
11
55 kgMatusiak
14
58 kgReekie-may
15
53 kgVilajosana
17
57 kgSchleicher
24
58 kgCarrigan
27
60 kgMartisova
32
64 kgHohlfeld
36
57 kgValsecchi
38
58 kgFernandes Silva
54
52 kgBrzeźna
56
56 kg
Weight (KG) →
Result →
69
52
2
56
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STAHURSKAYA Zinaida | 69 |
| 4 | PUČINSKAITĖ Edita | 54 |
| 6 | BONANOMI Roberta | 60 |
| 8 | MELCHERS Mirjam | 59 |
| 11 | DOPPMANN Priska | 55 |
| 14 | MATUSIAK Bogumiła | 58 |
| 15 | REEKIE-MAY Roz | 53 |
| 17 | VILAJOSANA Marta | 57 |
| 24 | SCHLEICHER Regina | 58 |
| 27 | CARRIGAN Sara | 60 |
| 32 | MARTISOVA Julia | 64 |
| 36 | HOHLFELD Vera | 57 |
| 38 | VALSECCHI Silvia | 58 |
| 54 | FERNANDES SILVA Janildes | 52 |
| 56 | BRZEŹNA Paulina | 56 |