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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Baronchelli
1
72 kgSaronni
2
65 kgGavazzi
4
67 kgKnudsen
5
79 kgAlgeri
8
69 kgParecchini
9
71 kg
1
72 kgSaronni
2
65 kgGavazzi
4
67 kgKnudsen
5
79 kgAlgeri
8
69 kgParecchini
9
71 kg
Weight (KG) →
Result →
79
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | SARONNI Giuseppe | 65 |
| 4 | GAVAZZI Pierino | 67 |
| 5 | KNUDSEN Knut | 79 |
| 8 | ALGERI Pietro | 69 |
| 9 | PARECCHINI Aldo | 71 |