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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Skalniak-Sójka
1
54 kgShekel
4
58 kgKononenko
5
68 kgNerlo
9
65 kgCollinelli
17
62 kg
1
54 kgShekel
4
58 kgKononenko
5
68 kgNerlo
9
65 kgCollinelli
17
62 kg
Weight (KG) →
Result →
68
54
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 4 | SHEKEL Olga | 58 |
| 5 | KONONENKO Valeriya | 68 |
| 9 | NERLO Aurela | 65 |
| 17 | COLLINELLI Sofia | 62 |