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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Wright
1
75 kgColman
2
73 kgRabitsch
3
69 kgPeák
4
74 kgKrizek
6
74 kgJohansen
7
77 kg
1
75 kgColman
2
73 kgRabitsch
3
69 kgPeák
4
74 kgKrizek
6
74 kgJohansen
7
77 kg
Weight (KG) →
Result →
77
69
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WRIGHT Fred | 75 |
| 2 | COLMAN Alex | 73 |
| 3 | RABITSCH Stephan | 69 |
| 4 | PEÁK Barnabás | 74 |
| 6 | KRIZEK Matthias | 74 |
| 7 | JOHANSEN Julius | 77 |