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 - 31
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Maertens
4
65 kgBracke
6
79 kgPoulidor
15
71 kgParenteau
33
68 kgDemeyer
36
85 kg
4
65 kgBracke
6
79 kgPoulidor
15
71 kgParenteau
33
68 kgDemeyer
36
85 kg
Weight (KG) →
Result →
85
65
4
36
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MAERTENS Freddy | 65 |
| 6 | BRACKE Ferdinand | 79 |
| 15 | POULIDOR Raymond | 71 |
| 33 | PARENTEAU Jean-Pierre | 68 |
| 36 | DEMEYER Marc | 85 |