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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Christoforou
1
53 kgShapira
2
58 kgGafinovitz
3
52 kgSaarelainen
5
58 kg
1
53 kgShapira
2
58 kgGafinovitz
3
52 kgSaarelainen
5
58 kg
Weight (KG) →
Result →
58
52
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRISTOFOROU Antri | 53 |
| 2 | SHAPIRA Omer | 58 |
| 3 | GAFINOVITZ Rotem | 52 |
| 5 | SAARELAINEN Sari | 58 |