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 = -0.8 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Confalonieri
1
56 kgPaladin
2
59 kgBastianelli
3
60 kgSierra
4
57 kgRiabchenko
8
57 kgShekel
9
58 kgBertizzolo
10
54 kg
1
56 kgPaladin
2
59 kgBastianelli
3
60 kgSierra
4
57 kgRiabchenko
8
57 kgShekel
9
58 kgBertizzolo
10
54 kg
Weight (KG) →
Result →
60
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONFALONIERI Maria Giulia | 56 |
| 2 | PALADIN Soraya | 59 |
| 3 | BASTIANELLI Marta | 60 |
| 4 | SIERRA Arlenis | 57 |
| 8 | RIABCHENKO Tetyana | 57 |
| 9 | SHEKEL Olga | 58 |
| 10 | BERTIZZOLO Sofia | 54 |