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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABRISKIE David | 67 |
| 3 | MCCARTNEY Jason | 70 |
| 4 | FRIEDMAN Michael | 82 |
| 6 | PATE Danny | 73 |
| 7 | ZIRBEL Tom | 91 |
| 8 | LOUDER Jeff | 73 |
| 17 | LEWIS Craig | 65 |
| 26 | FRISCHKORN William | 68 |
| 27 | CRUZ Antonio | 66 |
| 29 | COZZA Steven | 70 |