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.
Tchmil
1
75 kgLelli
3
69 kgKonyshev
6
77 kgBallerini
8
78 kgCenghialta
10
73 kgSunderland
12
65 kg
1
75 kgLelli
3
69 kgKonyshev
6
77 kgBallerini
8
78 kgCenghialta
10
73 kgSunderland
12
65 kg
Weight (KG) →
Result →
78
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TCHMIL Andrei | 75 |
| 3 | LELLI Massimiliano | 69 |
| 6 | KONYSHEV Dmitry | 77 |
| 8 | BALLERINI Franco | 78 |
| 10 | CENGHIALTA Bruno | 73 |
| 12 | SUNDERLAND Scott | 65 |