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 = 1.6 * weight - 105
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Sandstød
1
74 kgBlaudzun
2
66 kgChristensen
3
66 kgKristensen
4
70 kgMeinert-Nielsen
5
73 kgBak
30
76 kg
1
74 kgBlaudzun
2
66 kgChristensen
3
66 kgKristensen
4
70 kgMeinert-Nielsen
5
73 kgBak
30
76 kg
Weight (KG) →
Result →
76
66
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | BLAUDZUN Michael | 66 |
| 3 | CHRISTENSEN Bekim Leif | 66 |
| 4 | KRISTENSEN Lennie | 70 |
| 5 | MEINERT-NIELSEN Peter | 73 |
| 30 | BAK Lars Ytting | 76 |