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 = 0.5 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BEAUMONT Cameron | 58 |
| 4 | PANIZZA James | 63 |
| 6 | HEFFERNAN William | 60 |
| 7 | WATSON-PALMER Oliver | 68 |
| 8 | GREENWOOD Matthew | 63 |
| 18 | GRAVE Oliver | 69 |
| 19 | ROBERTSON Elliot | 59 |
| 20 | GILLINGHAM Jack | 63 |
| 25 | BOWER Lewis | 63 |