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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABRISKIE David | 67 |
| 2 | ZIRBEL Tom | 91 |
| 3 | VANDE VELDE Christian | 69 |
| 4 | COZZA Steven | 70 |
| 5 | DANIELSON Tom | 58.5 |
| 11 | MURPHY John | 81 |
| 13 | DUGGAN Timothy | 60 |
| 27 | PETERSON Tom | 70 |
| 29 | ELDRIDGE Joe | 84 |