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 + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Konrad
1
64 kgHaller
2
72 kgGamper
3
80 kgBayer
4
71 kgGogl
5
71 kgMühlberger
6
64 kgPöstlberger
7
70 kgBosch
8
76 kgVermeulen
9
67 kgSalzmann
10
72 kgGötzinger
12
71 kgLehner
13
63 kgSchönberger
15
64 kgGamper
16
72 kgPöll
17
60 kgPernsteiner
18
55 kgGall
20
66 kgZoidl
22
63 kgGroßschartner
23
64 kg
1
64 kgHaller
2
72 kgGamper
3
80 kgBayer
4
71 kgGogl
5
71 kgMühlberger
6
64 kgPöstlberger
7
70 kgBosch
8
76 kgVermeulen
9
67 kgSalzmann
10
72 kgGötzinger
12
71 kgLehner
13
63 kgSchönberger
15
64 kgGamper
16
72 kgPöll
17
60 kgPernsteiner
18
55 kgGall
20
66 kgZoidl
22
63 kgGroßschartner
23
64 kg
Weight (KG) →
Result →
80
55
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | KONRAD Patrick | 64 |
2 | HALLER Marco | 72 |
3 | GAMPER Patrick | 80 |
4 | BAYER Tobias | 71 |
5 | GOGL Michael | 71 |
6 | MÜHLBERGER Gregor | 64 |
7 | PÖSTLBERGER Lukas | 70 |
8 | BOSCH Manuel | 76 |
9 | VERMEULEN Moran | 67 |
10 | SALZMANN Jodok | 72 |
12 | GÖTZINGER Valentin | 71 |
13 | LEHNER Daniel | 63 |
15 | SCHÖNBERGER Sebastian | 64 |
16 | GAMPER Mario | 72 |
17 | PÖLL Stefan | 60 |
18 | PERNSTEINER Hermann | 55 |
20 | GALL Felix | 66 |
22 | ZOIDL Riccardo | 63 |
23 | GROßSCHARTNER Felix | 64 |