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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MCCANN David | 73 |
2 | KOPP David | 68 |
4 | GREIPEL André | 80 |
5 | FOX Morgan | 70 |
6 | SCANLON Mark | 79 |