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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Powless
1
67 kgAlzate
2
74 kgMurphy
3
81 kgMcCabe
5
72 kgHaedo
7
64 kgFlaksis
9
79 kgPerry
10
71 kgAcevedo
12
63 kg
1
67 kgAlzate
2
74 kgMurphy
3
81 kgMcCabe
5
72 kgHaedo
7
64 kgFlaksis
9
79 kgPerry
10
71 kgAcevedo
12
63 kg
Weight (KG) →
Result →
81
63
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POWLESS Neilson | 67 |
| 2 | ALZATE Carlos | 74 |
| 3 | MURPHY John | 81 |
| 5 | MCCABE Travis | 72 |
| 7 | HAEDO Lucas Sebastián | 64 |
| 9 | FLAKSIS Andžs | 79 |
| 10 | PERRY Benjamin | 71 |
| 12 | ACEVEDO Janier | 63 |