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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 8 | SMITH Dion | 67 |
| 14 | WHITEHOUSE Daniel | 58 |
| 16 | ANDERSON Jack | 68 |
| 23 | VOLKERS Samuel | 67 |
| 31 | CHRISTENSEN Ryan | 63 |
| 33 | NORTHEY Michael James | 69 |
| 36 | CARMAN Ben | 66 |
| 43 | CHAPMAN Joe | 78 |