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 = -1.4 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Schleicher
2
58 kgDoppmann
4
55 kgCarrigan
6
60 kgMelchers
7
59 kgValsecchi
8
58 kgMartisova
10
64 kgPučinskaitė
13
54 kgStahurskaya
18
69 kgBonanomi
22
60 kgHohlfeld
25
57 kgMatusiak
29
58 kgReekie-may
35
53 kgVilajosana
37
57 kgBrzeźna
46
56 kgFernandes Silva
49
52 kg
2
58 kgDoppmann
4
55 kgCarrigan
6
60 kgMelchers
7
59 kgValsecchi
8
58 kgMartisova
10
64 kgPučinskaitė
13
54 kgStahurskaya
18
69 kgBonanomi
22
60 kgHohlfeld
25
57 kgMatusiak
29
58 kgReekie-may
35
53 kgVilajosana
37
57 kgBrzeźna
46
56 kgFernandes Silva
49
52 kg
Weight (KG) →
Result →
69
52
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHLEICHER Regina | 58 |
| 4 | DOPPMANN Priska | 55 |
| 6 | CARRIGAN Sara | 60 |
| 7 | MELCHERS Mirjam | 59 |
| 8 | VALSECCHI Silvia | 58 |
| 10 | MARTISOVA Julia | 64 |
| 13 | PUČINSKAITĖ Edita | 54 |
| 18 | STAHURSKAYA Zinaida | 69 |
| 22 | BONANOMI Roberta | 60 |
| 25 | HOHLFELD Vera | 57 |
| 29 | MATUSIAK Bogumiła | 58 |
| 35 | REEKIE-MAY Roz | 53 |
| 37 | VILAJOSANA Marta | 57 |
| 46 | BRZEŹNA Paulina | 56 |
| 49 | FERNANDES SILVA Janildes | 52 |