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 = -0.9 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Glomser
2
67 kgMühlbacher
6
68 kgPfannberger
7
63 kgTotschnig
10
62 kgTrampusch
11
60 kg
2
67 kgMühlbacher
6
68 kgPfannberger
7
63 kgTotschnig
10
62 kgTrampusch
11
60 kg
Weight (KG) →
Result →
68
60
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GLOMSER Gerrit | 67 |
| 6 | MÜHLBACHER Thomas | 68 |
| 7 | PFANNBERGER Christian | 63 |
| 10 | TOTSCHNIG Georg | 62 |
| 11 | TRAMPUSCH Gerhard | 60 |