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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRIGHT Fred | 75 |
| 2 | KNOX James | 58 |
| 3 | WILLIAMS Stephen | 59 |
| 4 | DOULL Owain | 71 |
| 5 | WATSON Samuel | 68 |
| 6 | SWIFT Connor | 75 |
| 7 | DONOVAN Mark | 70 |
| 8 | SHAW James | 63 |
| 9 | GOLLIKER Joshua | 67 |
| 10 | WOOD Harrison | 66 |
| 13 | KYFFIN Zeb | 72 |
| 14 | FLYNN Sean | 67 |
| 20 | WOOD George | 64 |