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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABRISKIE David | 67 |
| 2 | PATE Danny | 73 |
| 3 | DUGGAN Timothy | 60 |
| 4 | ZIRBEL Tom | 91 |
| 5 | JULICH Bobby | 68 |
| 6 | HAMILTON Tyler | 65 |
| 9 | FRIEDMAN Michael | 82 |
| 16 | COZZA Steven | 70 |
| 21 | CRUZ Antonio | 66 |