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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUDSELL Timothy | 77 |
| 1 | BLACKGROVE Heath | 65 |
| 2 | WOHLBERG Eric | 63 |
| 3 | MENZIES Karl | 86 |
| 4 | YATES Jeremy | 73 |
| 6 | REID Robin | 62 |
| 7 | CLARKE Hilton | 70 |
| 7 | CLARKE Jonathan | 68 |
| 7 | CHAPMAN Joe | 78 |
| 11 | SUZUKI Shinri | 60 |