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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Algeri
1
68 kgSaronni
2
65 kgMoser
3
79 kgDe Vlaeminck
4
74 kgMartinelli
5
74 kg
1
68 kgSaronni
2
65 kgMoser
3
79 kgDe Vlaeminck
4
74 kgMartinelli
5
74 kg
Weight (KG) →
Result →
79
65
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALGERI Vittorio | 68 |
| 2 | SARONNI Giuseppe | 65 |
| 3 | MOSER Francesco | 79 |
| 4 | DE VLAEMINCK Roger | 74 |
| 5 | MARTINELLI Giuseppe | 74 |