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 = 0.5 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Evans
1
64 kgWilson
3
72 kgRogers
5
74 kgCooke
7
75 kgDavis
8
73 kgRoberts
9
71 kg
1
64 kgWilson
3
72 kgRogers
5
74 kgCooke
7
75 kgDavis
8
73 kgRoberts
9
71 kg
Weight (KG) →
Result →
75
64
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVANS Cadel | 64 |
| 3 | WILSON Matthew | 72 |
| 5 | ROGERS Michael | 74 |
| 7 | COOKE Baden | 75 |
| 8 | DAVIS Allan | 73 |
| 9 | ROBERTS Luke | 71 |