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 + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Mullen
1
77 kgDunbar
2
57 kgIrvine
3
80 kgDowney
5
74 kgMcconvey
9
67 kg
1
77 kgDunbar
2
57 kgIrvine
3
80 kgDowney
5
74 kgMcconvey
9
67 kg
Weight (KG) →
Result →
80
57
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | DUNBAR Eddie | 57 |
| 3 | IRVINE Martyn | 80 |
| 5 | DOWNEY Mark | 74 |
| 9 | MCCONVEY Connor | 67 |