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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ramirez
1
54 kgBergen
3
64 kgDoebel-Hickok
4
51 kgDygert
6
66 kgWilliams
9
66 kgPrieto
10
54 kgDuehring
14
54 kgGanzar
15
59 kgBaril
17
56 kgLuebke
19
54 kgPoidevin
21
56 kgNewsom
22
59 kgThorvilson
40
60 kgGarcía
45
68 kgTeddergreen
46
51 kgBeveridge
47
62 kgSanabria
49
51 kg
1
54 kgBergen
3
64 kgDoebel-Hickok
4
51 kgDygert
6
66 kgWilliams
9
66 kgPrieto
10
54 kgDuehring
14
54 kgGanzar
15
59 kgBaril
17
56 kgLuebke
19
54 kgPoidevin
21
56 kgNewsom
22
59 kgThorvilson
40
60 kgGarcía
45
68 kgTeddergreen
46
51 kgBeveridge
47
62 kgSanabria
49
51 kg
Weight (KG) →
Result →
68
51
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMIREZ Andrea | 54 |
| 3 | BERGEN Sara | 64 |
| 4 | DOEBEL-HICKOK Krista | 51 |
| 6 | DYGERT Chloé | 66 |
| 9 | WILLIAMS Lily | 66 |
| 10 | PRIETO Marcela Elizabeth | 54 |
| 14 | DUEHRING Jasmin | 54 |
| 15 | GANZAR Leigh Ann | 59 |
| 17 | BARIL Olivia | 56 |
| 19 | LUEBKE Jennifer | 54 |
| 21 | POIDEVIN Sara | 56 |
| 22 | NEWSOM Emily | 59 |
| 40 | THORVILSON Leah | 60 |
| 45 | GARCÍA Danielys del Valle | 68 |
| 46 | TEDDERGREEN Starla | 51 |
| 47 | BEVERIDGE Allison | 62 |
| 49 | SANABRIA Ana Cristina | 51 |