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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOBRIDGE Jack | 65 |
| 2 | MEYER Cameron | 70 |
| 4 | HAAS Nathan | 71 |
| 5 | MCCARTHY Jay | 63 |
| 6 | GERRANS Simon | 62 |
| 7 | SPOKES Samuel | 63 |
| 8 | HUCKER Robbie | 68 |
| 11 | CANTY Brendan | 60 |
| 13 | DYBALL Benjamin | 63 |
| 14 | ROE Timothy | 66 |
| 15 | CLARKE Jonathan | 68 |