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 = -0.4 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dygert
1
66 kgGanzar
3
59 kgDoebel-Hickok
4
51 kgBergen
5
64 kgDuehring
8
54 kgPrieto
9
54 kgRamirez
12
54 kg
1
66 kgGanzar
3
59 kgDoebel-Hickok
4
51 kgBergen
5
64 kgDuehring
8
54 kgPrieto
9
54 kgRamirez
12
54 kg
Weight (KG) →
Result →
66
51
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYGERT Chloé | 66 |
| 3 | GANZAR Leigh Ann | 59 |
| 4 | DOEBEL-HICKOK Krista | 51 |
| 5 | BERGEN Sara | 64 |
| 8 | DUEHRING Jasmin | 54 |
| 9 | PRIETO Marcela Elizabeth | 54 |
| 12 | RAMIREZ Andrea | 54 |