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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hajek
1
55 kgMühlberger
2
64 kgGroßschartner
3
64 kgZoidl
4
63 kgKonrad
5
64 kgHaller
6
72 kgSchönberger
7
64 kgZangerle
8
68 kgHofbauer
9
70 kgGamper
10
80 kgPernsteiner
11
55 kgPöstlberger
12
70 kgBuschek
13
67 kgEckerstorfer
14
62 kgSchrettl
16
63 kgPutz
18
62 kgTichler
19
66 kgReiter
20
69 kg
1
55 kgMühlberger
2
64 kgGroßschartner
3
64 kgZoidl
4
63 kgKonrad
5
64 kgHaller
6
72 kgSchönberger
7
64 kgZangerle
8
68 kgHofbauer
9
70 kgGamper
10
80 kgPernsteiner
11
55 kgPöstlberger
12
70 kgBuschek
13
67 kgEckerstorfer
14
62 kgSchrettl
16
63 kgPutz
18
62 kgTichler
19
66 kgReiter
20
69 kg
Weight (KG) →
Result →
80
55
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAJEK Alexander | 55 |
| 2 | MÜHLBERGER Gregor | 64 |
| 3 | GROßSCHARTNER Felix | 64 |
| 4 | ZOIDL Riccardo | 63 |
| 5 | KONRAD Patrick | 64 |
| 6 | HALLER Marco | 72 |
| 7 | SCHÖNBERGER Sebastian | 64 |
| 8 | ZANGERLE Emanuel | 68 |
| 9 | HOFBAUER Philipp | 70 |
| 10 | GAMPER Patrick | 80 |
| 11 | PERNSTEINER Hermann | 55 |
| 12 | PÖSTLBERGER Lukas | 70 |
| 13 | BUSCHEK Paul | 67 |
| 14 | ECKERSTORFER Benjamin | 62 |
| 16 | SCHRETTL Marco | 63 |
| 18 | PUTZ Sebastian | 62 |
| 19 | TICHLER Thomas | 66 |
| 20 | REITER Jakob | 69 |