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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Fahlin
1
63 kgZabelinskaya
2
52 kgNovolodskaia
3
57 kgIndergand
6
65 kgVysotska
7
55 kgArzuffi
8
52 kgMichiels
9
60 kgRitter
10
59 kgChristoforou
11
53 kgVandenbroucke
13
63 kgHannes
14
51 kgKasenova
16
52 kgVan de Velde
17
58 kgJaskulska
20
52 kgShekel
22
58 kgPliaskina
27
57 kgSaarelainen
30
58 kg
1
63 kgZabelinskaya
2
52 kgNovolodskaia
3
57 kgIndergand
6
65 kgVysotska
7
55 kgArzuffi
8
52 kgMichiels
9
60 kgRitter
10
59 kgChristoforou
11
53 kgVandenbroucke
13
63 kgHannes
14
51 kgKasenova
16
52 kgVan de Velde
17
58 kgJaskulska
20
52 kgShekel
22
58 kgPliaskina
27
57 kgSaarelainen
30
58 kg
Weight (KG) →
Result →
65
51
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAHLIN Emilia | 63 |
| 2 | ZABELINSKAYA Olga | 52 |
| 3 | NOVOLODSKAIA Maria | 57 |
| 6 | INDERGAND Linda | 65 |
| 7 | VYSOTSKA Ievgeniia | 55 |
| 8 | ARZUFFI Alice Maria | 52 |
| 9 | MICHIELS Githa | 60 |
| 10 | RITTER Martina | 59 |
| 11 | CHRISTOFOROU Antri | 53 |
| 13 | VANDENBROUCKE Saartje | 63 |
| 14 | HANNES Kaat | 51 |
| 16 | KASENOVA Karina | 52 |
| 17 | VAN DE VELDE Julie | 58 |
| 20 | JASKULSKA Marta | 52 |
| 22 | SHEKEL Olga | 58 |
| 27 | PLIASKINA Anastasiia | 57 |
| 30 | SAARELAINEN Sari | 58 |