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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
George
1
61 kgKannemeyer
2
67 kgMcLeod
4
66 kgPoitschke
7
73 kgKopp
8
68 kgCox
9
62 kgHeppner
11
69 kgGrabsch
12
81 kgBrożyna
16
65 kgGlasner
18
72 kgRetschke
21
66 kgRoberts
24
71 kgO'Loughlin
33
68 kgWacker
37
65 kgChmielewski
40
72 kgImpey
41
72 kgPontoni
42
58 kgDa Dalto
47
72 kgMcCann
50
73 kgHuzarski
51
69 kgVan Der Berg
53
68 kgPriamo
58
72 kgHeymans
65
65 kgCraven
72
75 kg
1
61 kgKannemeyer
2
67 kgMcLeod
4
66 kgPoitschke
7
73 kgKopp
8
68 kgCox
9
62 kgHeppner
11
69 kgGrabsch
12
81 kgBrożyna
16
65 kgGlasner
18
72 kgRetschke
21
66 kgRoberts
24
71 kgO'Loughlin
33
68 kgWacker
37
65 kgChmielewski
40
72 kgImpey
41
72 kgPontoni
42
58 kgDa Dalto
47
72 kgMcCann
50
73 kgHuzarski
51
69 kgVan Der Berg
53
68 kgPriamo
58
72 kgHeymans
65
65 kgCraven
72
75 kg
Weight (KG) →
Result →
81
58
1
72
# | Rider | Weight (KG) |
---|---|---|
1 | GEORGE David | 61 |
2 | KANNEMEYER Tiaan | 67 |
4 | MCLEOD Ian | 66 |
7 | POITSCHKE Enrico | 73 |
8 | KOPP David | 68 |
9 | COX Ryan | 62 |
11 | HEPPNER Jens | 69 |
12 | GRABSCH Ralf | 81 |
16 | BROŻYNA Tomasz | 65 |
18 | GLASNER Björn | 72 |
21 | RETSCHKE Robert | 66 |
24 | ROBERTS Luke | 71 |
33 | O'LOUGHLIN David | 68 |
37 | WACKER Eugen | 65 |
40 | CHMIELEWSKI Piotr | 72 |
41 | IMPEY Daryl | 72 |
42 | PONTONI Daniele | 58 |
47 | DA DALTO Mauro | 72 |
50 | MCCANN David | 73 |
51 | HUZARSKI Bartosz | 69 |
53 | VAN DER BERG Johan | 68 |
58 | PRIAMO Matteo | 72 |
65 | HEYMANS Mannie | 65 |
72 | CRAVEN Dan | 75 |