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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EDDY Patrick | 79 |
| 3 | MACKELLAR Alastair | 69 |
| 4 | BOGNA Alex | 66 |
| 5 | MICALLEF Alexander | 55 |
| 7 | DERRICK James | 54 |
| 8 | BARNHILL Zac | 64 |
| 9 | MATTHEWS Robert | 72 |
| 12 | TEESE Ronan | 58 |
| 14 | SINCLAIR Aiden | 58 |
| 16 | JOHNSTON Liam | 75 |
| 19 | GEORGE Dylan | 68 |
| 20 | AGNOLETTO Blake | 69 |
| 29 | FOX Matthew | 71 |
| 31 | PANIZZA James | 63 |
| 34 | KIRKHAM Will | 62 |
| 37 | CONNAN Matthew | 61 |