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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEYER Chad | 63 |
| 2 | CRADDOCK Lawson | 69 |
| 3 | BOSWELL Ian | 70 |
| 4 | SUTHERLAND Rory | 75 |
| 6 | ARANGO Juan Esteban | 62 |
| 7 | DOMBROWSKI Joe | 68 |
| 9 | WURF Cameron | 71 |
| 10 | LOUDER Jeff | 73 |