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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Louyet
4
64 kgJoly
5
75 kgRoosemont
9
80 kgVerdyck
10
78 kgFrantz
11
78 kg
4
64 kgJoly
5
75 kgRoosemont
9
80 kgVerdyck
10
78 kgFrantz
11
78 kg
Weight (KG) →
Result →
80
64
4
11
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LOUYET Léon | 64 |
| 5 | JOLY Émile | 75 |
| 9 | ROOSEMONT Leopold | 80 |
| 10 | VERDYCK August | 78 |
| 11 | FRANTZ Nicolas | 78 |