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 + 8
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lontscharitsch
1
70 kgWrolich
2
68 kgLombardi
3
73 kgHaselbacher
4
69 kgZberg
5
69 kg
1
70 kgWrolich
2
68 kgLombardi
3
73 kgHaselbacher
4
69 kgZberg
5
69 kg
Weight (KG) →
Result →
73
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LONTSCHARITSCH Josef | 70 |
| 2 | WROLICH Peter | 68 |
| 3 | LOMBARDI Giovanni | 73 |
| 4 | HASELBACHER René | 69 |
| 5 | ZBERG Markus | 69 |