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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 2 | DYBALL Benjamin | 63 |
| 14 | RUDOLPH Malcolm | 69 |
| 19 | LAPTHORNE Darren | 70 |
| 25 | AVERY Clinton | 90 |
| 27 | BEVIN Patrick | 75 |
| 31 | SMITH Dion | 67 |
| 33 | REID Robin | 62 |
| 49 | FLAKEMORE Campbell | 72 |
| 62 | WALKER Johnnie | 63 |