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 - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 2 | DYBALL Benjamin | 63 |
| 16 | LAPTHORNE Darren | 70 |
| 17 | SMITH Dion | 67 |
| 19 | RUDOLPH Malcolm | 69 |
| 28 | REID Robin | 62 |
| 33 | BEVIN Patrick | 75 |
| 40 | AVERY Clinton | 90 |
| 51 | FLAKEMORE Campbell | 72 |
| 57 | WALKER Johnnie | 63 |