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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Landis
1
68 kgO'Neill
4
72 kgFraser
8
71 kgKristensen
9
70 kgVogels
11
75 kgHorner
12
70 kgVestøl
15
85 kg
1
68 kgO'Neill
4
72 kgFraser
8
71 kgKristensen
9
70 kgVogels
11
75 kgHorner
12
70 kgVestøl
15
85 kg
Weight (KG) →
Result →
85
68
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANDIS Floyd | 68 |
| 4 | O'NEILL Nathan | 72 |
| 8 | FRASER Gordon | 71 |
| 9 | KRISTENSEN Lennie | 70 |
| 11 | VOGELS Henk | 75 |
| 12 | HORNER Chris | 70 |
| 15 | VESTØL Bjørnar | 85 |