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 = 1.7 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Totschnig
2
62 kgTrampusch
4
60 kgMühlbacher
5
68 kgBonča
8
63 kgBuxhofer
9
70 kgWrolich
11
68 kgZberg
12
69 kgBortolami
13
73 kgPugaci
16
67 kgUgrumov
18
58 kgLontscharitsch
19
70 kgKadlec
20
70 kgTrentin
33
65 kgMoerenhout
35
74 kgHaselbacher
37
69 kgBoven
40
65 kgLotz
43
76 kgAuger
46
78 kgVestøl
53
85 kgKroon
56
67 kgBenčík
57
73 kgNüttli
61
70 kg
2
62 kgTrampusch
4
60 kgMühlbacher
5
68 kgBonča
8
63 kgBuxhofer
9
70 kgWrolich
11
68 kgZberg
12
69 kgBortolami
13
73 kgPugaci
16
67 kgUgrumov
18
58 kgLontscharitsch
19
70 kgKadlec
20
70 kgTrentin
33
65 kgMoerenhout
35
74 kgHaselbacher
37
69 kgBoven
40
65 kgLotz
43
76 kgAuger
46
78 kgVestøl
53
85 kgKroon
56
67 kgBenčík
57
73 kgNüttli
61
70 kg
Weight (KG) →
Result →
85
58
2
61
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TOTSCHNIG Georg | 62 |
| 4 | TRAMPUSCH Gerhard | 60 |
| 5 | MÜHLBACHER Thomas | 68 |
| 8 | BONČA Valter | 63 |
| 9 | BUXHOFER Matthias | 70 |
| 11 | WROLICH Peter | 68 |
| 12 | ZBERG Markus | 69 |
| 13 | BORTOLAMI Gianluca | 73 |
| 16 | PUGACI Igor | 67 |
| 18 | UGRUMOV Piotr | 58 |
| 19 | LONTSCHARITSCH Josef | 70 |
| 20 | KADLEC Milan | 70 |
| 33 | TRENTIN Guido | 65 |
| 35 | MOERENHOUT Koos | 74 |
| 37 | HASELBACHER René | 69 |
| 40 | BOVEN Jan | 65 |
| 43 | LOTZ Marc | 76 |
| 46 | AUGER Ludovic | 78 |
| 53 | VESTØL Bjørnar | 85 |
| 56 | KROON Karsten | 67 |
| 57 | BENČÍK Petr | 73 |
| 61 | NÜTTLI Jean | 70 |