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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Manninen
1
70 kgHänninen
2
60 kgLarsen
4
78 kgHelminen
7
74 kgHenttala
8
73 kg
1
70 kgHänninen
2
60 kgLarsen
4
78 kgHelminen
7
74 kgHenttala
8
73 kg
Weight (KG) →
Result →
78
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANNINEN Matti | 70 |
| 2 | HÄNNINEN Jaakko | 60 |
| 4 | LARSEN Trond | 78 |
| 7 | HELMINEN Matti | 74 |
| 8 | HENTTALA Joonas | 73 |