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 + 109
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Zabirova
1
65 kgSchleicher
2
58 kgStahurskaya
3
69 kgLjungskog
4
57 kgStiajkina
7
51 kgMatusiak
11
58 kgCantele
12
58 kgCooke
13
58 kgValen
14
62 kgMartisova
15
64 kgVžesniauskaitė
17
57 kgPučinskaitė
19
54 kgMelchers
20
59 kgBloch-Davidov
22
59 kgCarrigan
25
60 kgCappellotto
26
60 kgVilajosana
37
57 kgDahle
39
64 kgValen
75
61 kgFernandes Silva
80
52 kgValsecchi
124
58 kg
1
65 kgSchleicher
2
58 kgStahurskaya
3
69 kgLjungskog
4
57 kgStiajkina
7
51 kgMatusiak
11
58 kgCantele
12
58 kgCooke
13
58 kgValen
14
62 kgMartisova
15
64 kgVžesniauskaitė
17
57 kgPučinskaitė
19
54 kgMelchers
20
59 kgBloch-Davidov
22
59 kgCarrigan
25
60 kgCappellotto
26
60 kgVilajosana
37
57 kgDahle
39
64 kgValen
75
61 kgFernandes Silva
80
52 kgValsecchi
124
58 kg
Weight (KG) →
Result →
69
51
1
124
# | Rider | Weight (KG) |
---|---|---|
1 | ZABIROVA Zulfiya | 65 |
2 | SCHLEICHER Regina | 58 |
3 | STAHURSKAYA Zinaida | 69 |
4 | LJUNGSKOG Susanne | 57 |
7 | STIAJKINA Tatiana | 51 |
11 | MATUSIAK Bogumiła | 58 |
12 | CANTELE Noemi | 58 |
13 | COOKE Nicole | 58 |
14 | VALEN Anita | 62 |
15 | MARTISOVA Julia | 64 |
17 | VŽESNIAUSKAITĖ Modesta | 57 |
19 | PUČINSKAITĖ Edita | 54 |
20 | MELCHERS Mirjam | 59 |
22 | BLOCH-DAVIDOV Shani | 59 |
25 | CARRIGAN Sara | 60 |
26 | CAPPELLOTTO Alessandra | 60 |
37 | VILAJOSANA Marta | 57 |
39 | DAHLE Gunn-Rita | 64 |
75 | VALEN Monica | 61 |
80 | FERNANDES SILVA Janildes | 52 |
124 | VALSECCHI Silvia | 58 |