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 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Fahlin
1
63 kgZabelinskaya
2
52 kgNovolodskaia
3
57 kgHannes
4
51 kgArzuffi
5
52 kgRitter
7
59 kgIndergand
9
65 kgVysotska
10
55 kgMichiels
11
60 kgVandenbroucke
14
63 kgChristoforou
15
53 kgLach
17
59 kgShapira
20
58 kgKasenova
21
52 kgVan De Velde
22
58 kgJaskulska
24
52 kgShekel
28
58 kgSeitz
29
58 kgPliaskina
32
57 kgSaarelainen
36
58 kg
1
63 kgZabelinskaya
2
52 kgNovolodskaia
3
57 kgHannes
4
51 kgArzuffi
5
52 kgRitter
7
59 kgIndergand
9
65 kgVysotska
10
55 kgMichiels
11
60 kgVandenbroucke
14
63 kgChristoforou
15
53 kgLach
17
59 kgShapira
20
58 kgKasenova
21
52 kgVan De Velde
22
58 kgJaskulska
24
52 kgShekel
28
58 kgSeitz
29
58 kgPliaskina
32
57 kgSaarelainen
36
58 kg
Weight (KG) →
Result →
65
51
1
36
# | Rider | Weight (KG) |
---|---|---|
1 | FAHLIN Emilia | 63 |
2 | ZABELINSKAYA Olga | 52 |
3 | NOVOLODSKAIA Maria | 57 |
4 | HANNES Kaat | 51 |
5 | ARZUFFI Alice Maria | 52 |
7 | RITTER Martina | 59 |
9 | INDERGAND Linda | 65 |
10 | VYSOTSKA Ievgeniia | 55 |
11 | MICHIELS Githa | 60 |
14 | VANDENBROUCKE Saartje | 63 |
15 | CHRISTOFOROU Antri | 53 |
17 | LACH Marta | 59 |
20 | SHAPIRA Omer | 58 |
21 | KASENOVA Karina | 52 |
22 | VAN DE VELDE Julie | 58 |
24 | JASKULSKA Marta | 52 |
28 | SHEKEL Olga | 58 |
29 | SEITZ Aline | 58 |
32 | PLIASKINA Anastasiia | 57 |
36 | SAARELAINEN Sari | 58 |