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 = -0.3 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Doppmann
1
55 kgStahurskaya
3
69 kgMelchers
4
59 kgPučinskaitė
6
54 kgCooke
7
58 kgReekie-may
8
53 kgMatusiak
14
58 kgVžesniauskaitė
20
57 kgVilajosana
28
57 kgBonanomi
30
60 kgSchleicher
32
58 kgCarrigan
36
60 kgBrzeźna
38
56 kgHohlfeld
52
57 kgMartisova
53
64 kgFernandes Silva
60
52 kgValsecchi
85
58 kg
1
55 kgStahurskaya
3
69 kgMelchers
4
59 kgPučinskaitė
6
54 kgCooke
7
58 kgReekie-may
8
53 kgMatusiak
14
58 kgVžesniauskaitė
20
57 kgVilajosana
28
57 kgBonanomi
30
60 kgSchleicher
32
58 kgCarrigan
36
60 kgBrzeźna
38
56 kgHohlfeld
52
57 kgMartisova
53
64 kgFernandes Silva
60
52 kgValsecchi
85
58 kg
Weight (KG) →
Result →
69
52
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOPPMANN Priska | 55 |
| 3 | STAHURSKAYA Zinaida | 69 |
| 4 | MELCHERS Mirjam | 59 |
| 6 | PUČINSKAITĖ Edita | 54 |
| 7 | COOKE Nicole | 58 |
| 8 | REEKIE-MAY Roz | 53 |
| 14 | MATUSIAK Bogumiła | 58 |
| 20 | VŽESNIAUSKAITĖ Modesta | 57 |
| 28 | VILAJOSANA Marta | 57 |
| 30 | BONANOMI Roberta | 60 |
| 32 | SCHLEICHER Regina | 58 |
| 36 | CARRIGAN Sara | 60 |
| 38 | BRZEŹNA Paulina | 56 |
| 52 | HOHLFELD Vera | 57 |
| 53 | MARTISOVA Julia | 64 |
| 60 | FERNANDES SILVA Janildes | 52 |
| 85 | VALSECCHI Silvia | 58 |