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 = -7.6 * weight + 1116
This means that on average for every extra kilogram weight a rider loses -7.6 positions in the result.
Lontscharitsch
1
70 kgBalducci
3
69 kgPieri
990
78 kgDegano
990
68 kgValjavec
990
59 kg
1
70 kgBalducci
3
69 kgPieri
990
78 kgDegano
990
68 kgValjavec
990
59 kg
Weight (KG) →
Result →
78
59
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONTSCHARITSCH Josef | 70 |
| 3 | BALDUCCI Gabriele | 69 |
| 990 | PIERI Dario | 78 |
| 990 | DEGANO Enrico | 68 |
| 990 | VALJAVEC Tadej | 59 |