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 + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Donati
2
75 kgSgambelluri
4
63 kgTrentin
6
65 kgZanetti
7
66 kgCaucchioli
9
68 kgAtienza
10
60 kg
2
75 kgSgambelluri
4
63 kgTrentin
6
65 kgZanetti
7
66 kgCaucchioli
9
68 kgAtienza
10
60 kg
Weight (KG) →
Result →
75
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DONATI Massimo | 75 |
| 4 | SGAMBELLURI Roberto | 63 |
| 6 | TRENTIN Guido | 65 |
| 7 | ZANETTI Mauro | 66 |
| 9 | CAUCCHIOLI Pietro | 68 |
| 10 | ATIENZA Daniel | 60 |