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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Wafler
1
78 kgGroßschartner
2
64 kgBayer
3
71 kgHaller
4
72 kgKonrad
5
64 kgZangerle
6
68 kgGogl
7
71 kgSchmidbauer
8
69 kgSteininger
10
64 kgStieger
11
68 kgPutz
13
62 kgRiegler
18
65 kgKepplinger
19
70 kgHajek
22
55 kgGamper
23
80 kgRitzinger
24
80 kgEckerstorfer
25
62 kgZoidl
26
63 kgBuschek
28
67 kg
1
78 kgGroßschartner
2
64 kgBayer
3
71 kgHaller
4
72 kgKonrad
5
64 kgZangerle
6
68 kgGogl
7
71 kgSchmidbauer
8
69 kgSteininger
10
64 kgStieger
11
68 kgPutz
13
62 kgRiegler
18
65 kgKepplinger
19
70 kgHajek
22
55 kgGamper
23
80 kgRitzinger
24
80 kgEckerstorfer
25
62 kgZoidl
26
63 kgBuschek
28
67 kg
Weight (KG) →
Result →
80
55
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAFLER Tim | 78 |
| 2 | GROßSCHARTNER Felix | 64 |
| 3 | BAYER Tobias | 71 |
| 4 | HALLER Marco | 72 |
| 5 | KONRAD Patrick | 64 |
| 6 | ZANGERLE Emanuel | 68 |
| 7 | GOGL Michael | 71 |
| 8 | SCHMIDBAUER Maximilian | 69 |
| 10 | STEININGER Fabian | 64 |
| 11 | STIEGER Adrian | 68 |
| 13 | PUTZ Sebastian | 62 |
| 18 | RIEGLER Nikolas | 65 |
| 19 | KEPPLINGER Rainer | 70 |
| 22 | HAJEK Alexander | 55 |
| 23 | GAMPER Patrick | 80 |
| 24 | RITZINGER Felix | 80 |
| 25 | ECKERSTORFER Benjamin | 62 |
| 26 | ZOIDL Riccardo | 63 |
| 28 | BUSCHEK Paul | 67 |