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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mickiewicz
1
74 kgWesemann
2
72 kgPollack
4
77 kgGrabsch
8
78 kgAndriotto
10
68 kg
1
74 kgWesemann
2
72 kgPollack
4
77 kgGrabsch
8
78 kgAndriotto
10
68 kg
Weight (KG) →
Result →
78
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MICKIEWICZ Jacek | 74 |
| 2 | WESEMANN Steffen | 72 |
| 4 | POLLACK Olaf | 77 |
| 8 | GRABSCH Bert | 78 |
| 10 | ANDRIOTTO Dario | 68 |