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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Aldape
1
62 kgBonilla
12
73 kgEfimkin
14
67 kgNagy
15
52 kgPidgornyy
17
72 kg
1
62 kgBonilla
12
73 kgEfimkin
14
67 kgNagy
15
52 kgPidgornyy
17
72 kg
Weight (KG) →
Result →
73
52
1
17
# | Rider | Weight (KG) |
---|---|---|
1 | ALDAPE Moises Antonio | 62 |
12 | BONILLA José Adrián | 73 |
14 | EFIMKIN Vladimir | 67 |
15 | NAGY Robert | 52 |
17 | PIDGORNYY Ruslan | 72 |