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 + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Elliott
1
76 kgYates
3
74 kgRoche
8
74 kgDowns
12
67 kgHodge
18
74 kgKelly
20
77 kg
1
76 kgYates
3
74 kgRoche
8
74 kgDowns
12
67 kgHodge
18
74 kgKelly
20
77 kg
Weight (KG) →
Result →
77
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 3 | YATES Sean | 74 |
| 8 | ROCHE Stephen | 74 |
| 12 | DOWNS Rob | 67 |
| 18 | HODGE Stephen | 74 |
| 20 | KELLY Sean | 77 |