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 = 34 * weight - 1805
This means that on average for every extra kilogram weight a rider loses 34 positions in the result.
Bugno
3
68 kgRominger
4
65 kgBaronchelli
5
72 kgMoser
990
79 kgChiappucci
990
67 kgElli
990
71 kgGavazzi
990
67 kg
3
68 kgRominger
4
65 kgBaronchelli
5
72 kgMoser
990
79 kgChiappucci
990
67 kgElli
990
71 kgGavazzi
990
67 kg
Weight (KG) →
Result →
79
65
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUGNO Gianni | 68 |
| 4 | ROMINGER Tony | 65 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 990 | MOSER Francesco | 79 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | ELLI Alberto | 71 |
| 990 | GAVAZZI Pierino | 67 |