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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Baronchelli
2
72 kgRominger
3
65 kgMoser
4
79 kgElli
9
71 kgChiappucci
14
67 kg
2
72 kgRominger
3
65 kgMoser
4
79 kgElli
9
71 kgChiappucci
14
67 kg
Weight (KG) →
Result →
79
65
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARONCHELLI Gianbattista | 72 |
| 3 | ROMINGER Tony | 65 |
| 4 | MOSER Francesco | 79 |
| 9 | ELLI Alberto | 71 |
| 14 | CHIAPPUCCI Claudio | 67 |