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 = 0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dygert
1
66 kgGanzar
3
59 kgDoebel-Hickok
4
51 kgBergen
5
64 kgDuehring
7
54 kgPrieto
8
54 kgRamirez
10
54 kgWilliams
13
66 kgBaril
16
56 kgLuebke
20
54 kgPoidevin
22
56 kgNewsom
25
59 kgGarcía
43
68 kgTeddergreen
44
51 kgSanabria
45
51 kgThorvilson
50
60 kgBeveridge
59
62 kg
1
66 kgGanzar
3
59 kgDoebel-Hickok
4
51 kgBergen
5
64 kgDuehring
7
54 kgPrieto
8
54 kgRamirez
10
54 kgWilliams
13
66 kgBaril
16
56 kgLuebke
20
54 kgPoidevin
22
56 kgNewsom
25
59 kgGarcía
43
68 kgTeddergreen
44
51 kgSanabria
45
51 kgThorvilson
50
60 kgBeveridge
59
62 kg
Weight (KG) →
Result →
68
51
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYGERT Chloé | 66 |
| 3 | GANZAR Leigh Ann | 59 |
| 4 | DOEBEL-HICKOK Krista | 51 |
| 5 | BERGEN Sara | 64 |
| 7 | DUEHRING Jasmin | 54 |
| 8 | PRIETO Marcela Elizabeth | 54 |
| 10 | RAMIREZ Andrea | 54 |
| 13 | WILLIAMS Lily | 66 |
| 16 | BARIL Olivia | 56 |
| 20 | LUEBKE Jennifer | 54 |
| 22 | POIDEVIN Sara | 56 |
| 25 | NEWSOM Emily | 59 |
| 43 | GARCÍA Danielys del Valle | 68 |
| 44 | TEDDERGREEN Starla | 51 |
| 45 | SANABRIA Ana Cristina | 51 |
| 50 | THORVILSON Leah | 60 |
| 59 | BEVERIDGE Allison | 62 |