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 - 16
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | TANKINK Bram | 71 |
2 | WIELINGA Remmert | 68 |
20 | MUTSAARS Ronald | 67 |
21 | SENTJENS Roy | 75 |
25 | CURVERS Roy | 73 |
36 | TEN DAM Laurens | 67 |
39 | POSTHUMA Joost | 76 |
40 | ROOIJAKKERS Piet | 68 |
42 | AL Thijs | 72 |
50 | TRAKSEL Bobbie | 72 |
54 | WEENING Pieter | 68 |
65 | DEKKERS Hans | 72 |