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 = 1.3 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Chernomortsev
2
60 kgPidhainyi
4
58 kgShcherbatskyi
5
60 kgRudnytskyi
9
61 kg
2
60 kgPidhainyi
4
58 kgShcherbatskyi
5
60 kgRudnytskyi
9
61 kg
Weight (KG) →
Result →
61
58
2
9
# | Rider | Weight (KG) |
---|---|---|
2 | CHERNOMORTSEV Danylo | 60 |
4 | PIDHAINYI Andrii | 58 |
5 | SHCHERBATSKYI Maksym | 60 |
9 | RUDNYTSKYI Viktor | 61 |