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 + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Meini
2
74 kgPiemontesi
3
80 kgBattesini
4
80 kgMorelli
8
78 kgBertoni
9
65 kgTeani
10
70 kg
2
74 kgPiemontesi
3
80 kgBattesini
4
80 kgMorelli
8
78 kgBertoni
9
65 kgTeani
10
70 kg
Weight (KG) →
Result →
80
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEINI Ettore | 74 |
| 3 | PIEMONTESI Domenico | 80 |
| 4 | BATTESINI Fabio | 80 |
| 8 | MORELLI Ambrogio Enrico | 78 |
| 9 | BERTONI Remo | 65 |
| 10 | TEANI Orlando | 70 |