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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dygert
1
66 kgDoebel-Hickok
3
51 kgRamirez
5
54 kgBergen
7
64 kgGanzar
8
59 kgNewsom
9
59 kgWilliams
11
66 kg
1
66 kgDoebel-Hickok
3
51 kgRamirez
5
54 kgBergen
7
64 kgGanzar
8
59 kgNewsom
9
59 kgWilliams
11
66 kg
Weight (KG) →
Result →
66
51
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYGERT Chloé | 66 |
| 3 | DOEBEL-HICKOK Krista | 51 |
| 5 | RAMIREZ Andrea | 54 |
| 7 | BERGEN Sara | 64 |
| 8 | GANZAR Leigh Ann | 59 |
| 9 | NEWSOM Emily | 59 |
| 11 | WILLIAMS Lily | 66 |