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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Miller
2
72 kgZabel
5
69 kgVogels
7
75 kgO'Grady
8
73 kgAldag
9
75 kgSunderland
10
65 kg
2
72 kgZabel
5
69 kgVogels
7
75 kgO'Grady
8
73 kgAldag
9
75 kgSunderland
10
65 kg
Weight (KG) →
Result →
75
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MILLER Graeme | 72 |
| 5 | ZABEL Erik | 69 |
| 7 | VOGELS Henk | 75 |
| 8 | O'GRADY Stuart | 73 |
| 9 | ALDAG Rolf | 75 |
| 10 | SUNDERLAND Scott | 65 |