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 = -1.7 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Stahurskaya
1
69 kgBonanomi
5
60 kgCooke
6
58 kgVilajosana
7
57 kgDoppmann
9
55 kgMelchers
10
59 kgPučinskaitė
11
54 kgHohlfeld
15
57 kgMatusiak
21
58 kgMartisova
26
64 kgReekie-may
27
53 kgValsecchi
30
58 kgCarrigan
46
60 kgSchleicher
50
58 kgBrzeźna
55
56 kgFernandes Silva
63
52 kg
1
69 kgBonanomi
5
60 kgCooke
6
58 kgVilajosana
7
57 kgDoppmann
9
55 kgMelchers
10
59 kgPučinskaitė
11
54 kgHohlfeld
15
57 kgMatusiak
21
58 kgMartisova
26
64 kgReekie-may
27
53 kgValsecchi
30
58 kgCarrigan
46
60 kgSchleicher
50
58 kgBrzeźna
55
56 kgFernandes Silva
63
52 kg
Weight (KG) →
Result →
69
52
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 5 | BONANOMI Roberta | 60 |
| 6 | COOKE Nicole | 58 |
| 7 | VILAJOSANA Marta | 57 |
| 9 | DOPPMANN Priska | 55 |
| 10 | MELCHERS Mirjam | 59 |
| 11 | PUČINSKAITĖ Edita | 54 |
| 15 | HOHLFELD Vera | 57 |
| 21 | MATUSIAK Bogumiła | 58 |
| 26 | MARTISOVA Julia | 64 |
| 27 | REEKIE-MAY Roz | 53 |
| 30 | VALSECCHI Silvia | 58 |
| 46 | CARRIGAN Sara | 60 |
| 50 | SCHLEICHER Regina | 58 |
| 55 | BRZEŹNA Paulina | 56 |
| 63 | FERNANDES SILVA Janildes | 52 |