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 = -3.3 * weight + 298
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | OJAVEE Mart | 80 |
4 | ROLLIN Dominique | 83 |
5 | SCANLON Mark | 79 |
7 | CHAIGNEAU Robin | 80 |
16 | MCCANN David | 73 |
34 | JAKIN Alo | 71 |
60 | MARTIN Tony | 75 |
61 | BIAŁOBŁOCKI Marcin | 79 |
62 | NEWTON Christopher | 69 |
83 | GRETSCH Patrick | 69 |
97 | ROTH Ryan | 70 |
123 | IRVINE Martyn | 80 |