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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Frischkorn
1
68 kgRoth
2
70 kgDuggan
4
60 kgGaimon
7
67 kgLagutin
15
68 kg
1
68 kgRoth
2
70 kgDuggan
4
60 kgGaimon
7
67 kgLagutin
15
68 kg
Weight (KG) →
Result →
70
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRISCHKORN William | 68 |
| 2 | ROTH Ryan | 70 |
| 4 | DUGGAN Timothy | 60 |
| 7 | GAIMON Phillip | 67 |
| 15 | LAGUTIN Sergey | 68 |