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 = 19.1 * weight - 770
This means that on average for every extra kilogram weight a rider loses 19.1 positions in the result.
Bugno
1
68 kgGavazzi
4
67 kgBaronchelli
5
72 kgMoser
990
79 kgRominger
990
65 kgChiappucci
990
67 kgElli
990
71 kg
1
68 kgGavazzi
4
67 kgBaronchelli
5
72 kgMoser
990
79 kgRominger
990
65 kgChiappucci
990
67 kgElli
990
71 kg
Weight (KG) →
Result →
79
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUGNO Gianni | 68 |
| 4 | GAVAZZI Pierino | 67 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 990 | MOSER Francesco | 79 |
| 990 | ROMINGER Tony | 65 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | ELLI Alberto | 71 |