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 + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBRIDGE Jack | 65 |
| 2 | MATTHEWS Michael | 72 |
| 4 | EARLE Nathan | 70 |
| 6 | NORRIS Lachlan | 67 |
| 8 | ANDERSON Jack | 68 |
| 9 | HAAS Nathan | 71 |
| 10 | DEMPSTER Zak | 77 |
| 11 | WALKER Johnnie | 63 |
| 16 | CALABRIA Fabio | 55 |
| 21 | MEYER Travis | 68 |
| 22 | DYBALL Benjamin | 63 |
| 24 | ROE Timothy | 66 |
| 25 | GUY Timothy | 67 |
| 40 | VON HOFF Steele | 70 |
| 46 | RUDOLPH Malcolm | 69 |