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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kelly
1
77 kgHerrera
5
57 kgSchepers
8
60 kgAlonso
26
70 kgEarley
27
62 kg
1
77 kgHerrera
5
57 kgSchepers
8
60 kgAlonso
26
70 kgEarley
27
62 kg
Weight (KG) →
Result →
77
57
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 5 | HERRERA Luis Alberto | 57 |
| 8 | SCHEPERS Eddy | 60 |
| 26 | ALONSO Marino | 70 |
| 27 | EARLEY Martin | 62 |