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 = -0.7 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Schleicher
4
58 kgMartisova
10
64 kgCooke
14
58 kgHohlfeld
16
57 kgDoppmann
20
55 kgCarrigan
24
60 kgPučinskaitė
28
54 kgStahurskaya
29
69 kgReekie-may
32
53 kgMelchers
36
59 kgFernandes Silva
37
52 kgMatusiak
41
58 kgBonanomi
43
60 kgValsecchi
49
58 kgBrzeźna
54
56 kgVilajosana
64
57 kg
4
58 kgMartisova
10
64 kgCooke
14
58 kgHohlfeld
16
57 kgDoppmann
20
55 kgCarrigan
24
60 kgPučinskaitė
28
54 kgStahurskaya
29
69 kgReekie-may
32
53 kgMelchers
36
59 kgFernandes Silva
37
52 kgMatusiak
41
58 kgBonanomi
43
60 kgValsecchi
49
58 kgBrzeźna
54
56 kgVilajosana
64
57 kg
Weight (KG) →
Result →
69
52
4
64
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SCHLEICHER Regina | 58 |
| 10 | MARTISOVA Julia | 64 |
| 14 | COOKE Nicole | 58 |
| 16 | HOHLFELD Vera | 57 |
| 20 | DOPPMANN Priska | 55 |
| 24 | CARRIGAN Sara | 60 |
| 28 | PUČINSKAITĖ Edita | 54 |
| 29 | STAHURSKAYA Zinaida | 69 |
| 32 | REEKIE-MAY Roz | 53 |
| 36 | MELCHERS Mirjam | 59 |
| 37 | FERNANDES SILVA Janildes | 52 |
| 41 | MATUSIAK Bogumiła | 58 |
| 43 | BONANOMI Roberta | 60 |
| 49 | VALSECCHI Silvia | 58 |
| 54 | BRZEŹNA Paulina | 56 |
| 64 | VILAJOSANA Marta | 57 |