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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Murphy
1
81 kgSmith
3
67 kgHaedo
4
64 kgRoth
7
70 kgDisera
8
71 kgBoivin
9
78 kgPerry
13
71 kg
1
81 kgSmith
3
67 kgHaedo
4
64 kgRoth
7
70 kgDisera
8
71 kgBoivin
9
78 kgPerry
13
71 kg
Weight (KG) →
Result →
81
64
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURPHY John | 81 |
| 3 | SMITH Dion | 67 |
| 4 | HAEDO Lucas Sebastián | 64 |
| 7 | ROTH Ryan | 70 |
| 8 | DISERA Peter | 71 |
| 9 | BOIVIN Guillaume | 78 |
| 13 | PERRY Benjamin | 71 |