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 = -25.1 * weight + 2626
This means that on average for every extra kilogram weight a rider loses -25.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MEALLI Bruno | 73 |
| 990 | DUEZ Henri | 64 |
| 990 | VIGNA Marino | 67 |
| 990 | TONUCCI Giuseppe | 68 |
| 990 | CERAMI Pino | 72 |
| 990 | SIMPSON Tom | 69 |
| 990 | BEHEYT Benoni | 71 |
| 990 | LACOMBE Roland | 77 |