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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hughes
1
72 kgMillward
2
56 kgCarrigan
5
60 kgCooke
10
58 kgClaude
14
59 kgHair
18
63 kgWatterson
20
61 kg
1
72 kgMillward
2
56 kgCarrigan
5
60 kgCooke
10
58 kgClaude
14
59 kgHair
18
63 kgWatterson
20
61 kg
Weight (KG) →
Result →
72
56
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUGHES Clara | 72 |
| 2 | MILLWARD Anna | 56 |
| 5 | CARRIGAN Sara | 60 |
| 10 | COOKE Nicole | 58 |
| 14 | CLAUDE Melanie | 59 |
| 18 | HAIR Katrina | 63 |
| 20 | WATTERSON Sharon | 61 |