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 = -1.2 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Biannic
1
64 kgManeephan
3
59 kgVysotska
4
55 kgPitel
5
52 kgVieceli
6
59 kgSosna
11
76 kgFernandes
15
54 kgMartisova
19
64 kgScandolara
26
52 kgPintar
28
56 kgJasinska
30
57 kgBatagelj
31
53 kgDrexel
32
62 kgConfalonieri
33
56 kgRiabchenko
34
57 kgGuarischi
40
57 kgMiller
42
52 kgAntoshina
44
55 kgLichtenberg
47
52 kgStephens
48
55 kgOlds
49
54 kg
1
64 kgManeephan
3
59 kgVysotska
4
55 kgPitel
5
52 kgVieceli
6
59 kgSosna
11
76 kgFernandes
15
54 kgMartisova
19
64 kgScandolara
26
52 kgPintar
28
56 kgJasinska
30
57 kgBatagelj
31
53 kgDrexel
32
62 kgConfalonieri
33
56 kgRiabchenko
34
57 kgGuarischi
40
57 kgMiller
42
52 kgAntoshina
44
55 kgLichtenberg
47
52 kgStephens
48
55 kgOlds
49
54 kg
Weight (KG) →
Result →
76
52
1
49
# | Rider | Weight (KG) |
---|---|---|
1 | BIANNIC Aude | 64 |
3 | MANEEPHAN Jutatip | 59 |
4 | VYSOTSKA Ievgeniia | 55 |
5 | PITEL Edwige | 52 |
6 | VIECELI Lara | 59 |
11 | SOSNA Katazyna | 76 |
15 | FERNANDES Clemilda | 54 |
19 | MARTISOVA Julia | 64 |
26 | SCANDOLARA Valentina | 52 |
28 | PINTAR Urška | 56 |
30 | JASINSKA Małgorzata | 57 |
31 | BATAGELJ Polona | 53 |
32 | DREXEL Ingrid | 62 |
33 | CONFALONIERI Maria Giulia | 56 |
34 | RIABCHENKO Tetyana | 57 |
40 | GUARISCHI Barbara | 57 |
42 | MILLER Amanda | 52 |
44 | ANTOSHINA Tatiana | 55 |
47 | LICHTENBERG Claudia | 52 |
48 | STEPHENS Lauren | 55 |
49 | OLDS Shelley | 54 |