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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYTER Ethan | 70 |
| 2 | BIGHAM Daniel | 75 |
| 3 | SHAW James | 63 |
| 4 | ARCHIBALD John | 79 |
| 5 | QUARTERMAN Charlie | 75 |
| 6 | DOULL Owain | 71 |
| 8 | DOWSETT Alex | 75 |
| 9 | TANFIELD Charlie | 80 |
| 10 | TURNER Ben | 74 |
| 12 | KYFFIN Zeb | 72 |
| 13 | STEWART Mark | 70 |
| 14 | CARR Simon | 66 |
| 21 | REBOURS Jack | 76 |
| 24 | TREMLETT Sebastian | 70 |
| 26 | SKINNER George | 72 |