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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Vlaeminck
1
74 kgGavazzi
2
67 kgMartinelli
3
74 kgKnudsen
5
79 kgDemierre
8
70 kgParecchini
12
71 kg
1
74 kgGavazzi
2
67 kgMartinelli
3
74 kgKnudsen
5
79 kgDemierre
8
70 kgParecchini
12
71 kg
Weight (KG) →
Result →
79
67
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | GAVAZZI Pierino | 67 |
| 3 | MARTINELLI Giuseppe | 74 |
| 5 | KNUDSEN Knut | 79 |
| 8 | DEMIERRE Serge | 70 |
| 12 | PARECCHINI Aldo | 71 |