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 = 2.1 * weight - 143
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | MARTINELLO Silvio | 71 |
| 4 | GAVAZZI Pierino | 67 |
| 12 | PAGNIN Roberto | 74 |
| 15 | CENGHIALTA Bruno | 73 |
| 18 | TCHMIL Andrei | 75 |
| 21 | BALLERINI Franco | 78 |
| 23 | YATES Sean | 74 |