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 = 1.5 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Carlström
1
70 kgVeikkanen
6
66 kgManninen
7
70 kgHenttala
8
73 kgHelminen
24
74 kgSizko
29
70 kg
1
70 kgVeikkanen
6
66 kgManninen
7
70 kgHenttala
8
73 kgHelminen
24
74 kgSizko
29
70 kg
Weight (KG) →
Result →
74
66
1
29
# | Rider | Weight (KG) |
---|---|---|
1 | CARLSTRÖM Kjell | 70 |
6 | VEIKKANEN Jussi | 66 |
7 | MANNINEN Matti | 70 |
8 | HENTTALA Joonas | 73 |
24 | HELMINEN Matti | 74 |
29 | SIZKO Antti | 70 |