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 * weight - 63
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Faulkner
2
62 kgNeff
5
53 kgNiedermaier
9
52 kgJoncheray
12
55 kgIndergand
16
65 kgMilette
25
52 kgMissiaggia
27
53 kgHenttala
37
58 kgWankiewicz
40
58 kgMisyurina
51
64 kgSklyarova
60
57 kgPintar
68
56 kgBrouckaert
71
55 kgKakhkhorova
96
53 kgLacompte
126
65 kgBilous
147
58 kg
2
62 kgNeff
5
53 kgNiedermaier
9
52 kgJoncheray
12
55 kgIndergand
16
65 kgMilette
25
52 kgMissiaggia
27
53 kgHenttala
37
58 kgWankiewicz
40
58 kgMisyurina
51
64 kgSklyarova
60
57 kgPintar
68
56 kgBrouckaert
71
55 kgKakhkhorova
96
53 kgLacompte
126
65 kgBilous
147
58 kg
Weight (KG) →
Result →
65
52
2
147
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FAULKNER Kristen | 62 |
| 5 | NEFF Jolanda | 53 |
| 9 | NIEDERMAIER Antonia | 52 |
| 12 | JONCHERAY Victoire | 55 |
| 16 | INDERGAND Linda | 65 |
| 25 | MILETTE Laury | 52 |
| 27 | MISSIAGGIA Alessia | 53 |
| 37 | HENTTALA Lotta | 58 |
| 40 | WANKIEWICZ Olga | 58 |
| 51 | MISYURINA Margarita | 64 |
| 60 | SKLYAROVA Yelizaveta | 57 |
| 68 | PINTAR Urška | 56 |
| 71 | BROUCKAERT Sophie | 55 |
| 96 | KAKHKHOROVA Madina | 53 |
| 126 | LACOMPTE Amber | 65 |
| 147 | BILOUS Daria | 58 |