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 + 59
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Stević
1
66 kgClinger
3
77 kgFraser
5
71 kgJones
25
64 kgStewart
37
72 kgPeterson
68
70 kg
1
66 kgClinger
3
77 kgFraser
5
71 kgJones
25
64 kgStewart
37
72 kgPeterson
68
70 kg
Weight (KG) →
Result →
77
64
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVIĆ Ivan | 66 |
| 3 | CLINGER David | 77 |
| 5 | FRASER Gordon | 71 |
| 25 | JONES Chris | 64 |
| 37 | STEWART Jackson | 72 |
| 68 | PETERSON Tom | 70 |