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 = 4.1 * weight + 464
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Degano
1
68 kgPieri
990
78 kgValjavec
990
59 kgLontscharitsch
990
70 kg
1
68 kgPieri
990
78 kgValjavec
990
59 kgLontscharitsch
990
70 kg
Weight (KG) →
Result →
78
59
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGANO Enrico | 68 |
| 990 | PIERI Dario | 78 |
| 990 | VALJAVEC Tadej | 59 |
| 990 | LONTSCHARITSCH Josef | 70 |