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 + 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Melchers
2
59 kgPučinskaitė
3
54 kgDoppmann
5
55 kgZabelinskaya
6
52 kgCarrigan
7
60 kgCappellotto
8
60 kgMartisova
13
64 kgVilajosana
15
57 kgStahurskaya
19
69 kgCooke
27
58 kgMatusiak
30
58 kgSaarelainen
33
58 kgBonanomi
41
60 kgValsecchi
47
58 kgReekie-may
51
53 kgFernandes Silva
52
52 kgSchleicher
62
58 kgHohlfeld
70
57 kgVžesniauskaitė
85
57 kgBrzeźna
88
56 kgAndersen
89
68 kg
2
59 kgPučinskaitė
3
54 kgDoppmann
5
55 kgZabelinskaya
6
52 kgCarrigan
7
60 kgCappellotto
8
60 kgMartisova
13
64 kgVilajosana
15
57 kgStahurskaya
19
69 kgCooke
27
58 kgMatusiak
30
58 kgSaarelainen
33
58 kgBonanomi
41
60 kgValsecchi
47
58 kgReekie-may
51
53 kgFernandes Silva
52
52 kgSchleicher
62
58 kgHohlfeld
70
57 kgVžesniauskaitė
85
57 kgBrzeźna
88
56 kgAndersen
89
68 kg
Weight (KG) →
Result →
69
52
2
89
# | Rider | Weight (KG) |
---|---|---|
2 | MELCHERS Mirjam | 59 |
3 | PUČINSKAITĖ Edita | 54 |
5 | DOPPMANN Priska | 55 |
6 | ZABELINSKAYA Olga | 52 |
7 | CARRIGAN Sara | 60 |
8 | CAPPELLOTTO Alessandra | 60 |
13 | MARTISOVA Julia | 64 |
15 | VILAJOSANA Marta | 57 |
19 | STAHURSKAYA Zinaida | 69 |
27 | COOKE Nicole | 58 |
30 | MATUSIAK Bogumiła | 58 |
33 | SAARELAINEN Sari | 58 |
41 | BONANOMI Roberta | 60 |
47 | VALSECCHI Silvia | 58 |
51 | REEKIE-MAY Roz | 53 |
52 | FERNANDES SILVA Janildes | 52 |
62 | SCHLEICHER Regina | 58 |
70 | HOHLFELD Vera | 57 |
85 | VŽESNIAUSKAITĖ Modesta | 57 |
88 | BRZEŹNA Paulina | 56 |
89 | ANDERSEN Mette | 68 |