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 = 0.7 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Simon | 63 |
| 4 | MEYER Travis | 68 |
| 7 | DOCKER Mitchell | 73 |
| 11 | WALKER Johnnie | 63 |
| 12 | ANDERSON Jack | 68 |
| 15 | CALABRIA Fabio | 55 |
| 19 | SULZBERGER Wesley | 65 |
| 21 | ROE Timothy | 66 |
| 32 | DEMPSTER Zak | 77 |
| 33 | NORRIS Lachlan | 67 |
| 38 | RUDOLPH Malcolm | 69 |
| 48 | GUY Timothy | 67 |