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 = 0.6 * weight + 37
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Indergand
2
65 kgFaulkner
5
62 kgHenttala
7
58 kgNeff
9
53 kgNiedermaier
14
52 kgWankiewicz
15
58 kgJoncheray
28
55 kgMilette
44
52 kgMissiaggia
58
54 kgLacompte
76
65 kgPintar
103
56 kgMisyurina
107
64 kgSklyarova
110
57 kgBrouckaert
116
55 kgKakhkhorova
164
53 kgBilous
165
58 kgPlotsidym
170
62 kg
2
65 kgFaulkner
5
62 kgHenttala
7
58 kgNeff
9
53 kgNiedermaier
14
52 kgWankiewicz
15
58 kgJoncheray
28
55 kgMilette
44
52 kgMissiaggia
58
54 kgLacompte
76
65 kgPintar
103
56 kgMisyurina
107
64 kgSklyarova
110
57 kgBrouckaert
116
55 kgKakhkhorova
164
53 kgBilous
165
58 kgPlotsidym
170
62 kg
Weight (KG) →
Result →
65
52
2
170
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | INDERGAND Linda | 65 |
| 5 | FAULKNER Kristen | 62 |
| 7 | HENTTALA Lotta | 58 |
| 9 | NEFF Jolanda | 53 |
| 14 | NIEDERMAIER Antonia | 52 |
| 15 | WANKIEWICZ Olga | 58 |
| 28 | JONCHERAY Victoire | 55 |
| 44 | MILETTE Laury | 52 |
| 58 | MISSIAGGIA Alessia | 54 |
| 76 | LACOMPTE Amber | 65 |
| 103 | PINTAR Urška | 56 |
| 107 | MISYURINA Margarita | 64 |
| 110 | SKLYAROVA Yelizaveta | 57 |
| 116 | BROUCKAERT Sophie | 55 |
| 164 | KAKHKHOROVA Madina | 53 |
| 165 | BILOUS Daria | 58 |
| 170 | PLOTSIDYM Anastasiya | 62 |