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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Wohlberg
1
63 kgHruška
4
62 kgFraser
5
71 kgLeipheimer
6
62 kgMitchell
9
70 kgClinger
10
77 kg
1
63 kgHruška
4
62 kgFraser
5
71 kgLeipheimer
6
62 kgMitchell
9
70 kgClinger
10
77 kg
Weight (KG) →
Result →
77
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WOHLBERG Eric | 63 |
| 4 | HRUŠKA Jan | 62 |
| 5 | FRASER Gordon | 71 |
| 6 | LEIPHEIMER Levi | 62 |
| 9 | MITCHELL Glen | 70 |
| 10 | CLINGER David | 77 |