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 = -3.3 * weight + 235
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
Haselbacher
1
69 kgLontscharitsch
2
70 kgBuxhofer
4
70 kgGlomser
13
67 kg
1
69 kgLontscharitsch
2
70 kgBuxhofer
4
70 kgGlomser
13
67 kg
Weight (KG) →
Result →
70
67
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASELBACHER René | 69 |
| 2 | LONTSCHARITSCH Josef | 70 |
| 4 | BUXHOFER Matthias | 70 |
| 13 | GLOMSER Gerrit | 67 |