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 = -2.2 * weight + 166
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Schleicher
1
58 kgCarrigan
5
60 kgDoppmann
6
55 kgCappellotto
7
60 kgMartisova
9
64 kgPučinskaitė
18
54 kgStahurskaya
22
69 kgMelchers
30
59 kgVžesniauskaitė
34
57 kgHohlfeld
38
57 kgReekie-may
40
53 kgBrzeźna
47
56 kgMatusiak
52
58 kgCooke
60
58 kgFernandes Silva
62
52 kgBonanomi
66
60 kgZabelinskaya
71
52 kgVilajosana
78
57 kgValsecchi
80
58 kgSaarelainen
88
58 kg
1
58 kgCarrigan
5
60 kgDoppmann
6
55 kgCappellotto
7
60 kgMartisova
9
64 kgPučinskaitė
18
54 kgStahurskaya
22
69 kgMelchers
30
59 kgVžesniauskaitė
34
57 kgHohlfeld
38
57 kgReekie-may
40
53 kgBrzeźna
47
56 kgMatusiak
52
58 kgCooke
60
58 kgFernandes Silva
62
52 kgBonanomi
66
60 kgZabelinskaya
71
52 kgVilajosana
78
57 kgValsecchi
80
58 kgSaarelainen
88
58 kg
Weight (KG) →
Result →
69
52
1
88
# | Rider | Weight (KG) |
---|---|---|
1 | SCHLEICHER Regina | 58 |
5 | CARRIGAN Sara | 60 |
6 | DOPPMANN Priska | 55 |
7 | CAPPELLOTTO Alessandra | 60 |
9 | MARTISOVA Julia | 64 |
18 | PUČINSKAITĖ Edita | 54 |
22 | STAHURSKAYA Zinaida | 69 |
30 | MELCHERS Mirjam | 59 |
34 | VŽESNIAUSKAITĖ Modesta | 57 |
38 | HOHLFELD Vera | 57 |
40 | REEKIE-MAY Roz | 53 |
47 | BRZEŹNA Paulina | 56 |
52 | MATUSIAK Bogumiła | 58 |
60 | COOKE Nicole | 58 |
62 | FERNANDES SILVA Janildes | 52 |
66 | BONANOMI Roberta | 60 |
71 | ZABELINSKAYA Olga | 52 |
78 | VILAJOSANA Marta | 57 |
80 | VALSECCHI Silvia | 58 |
88 | SAARELAINEN Sari | 58 |