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 + 53
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wohlberg
4
63 kgKilleen
11
65 kgLowe
12
64 kgStević
14
66 kgPate
15
73 kgMitchell
18
70 kgFrattini
26
63 kgTuft
30
77 kgTaberlay
34
62 kgHaedo
41
73 kgKing
50
78 kgClinger
58
77 kgLewis
64
65 kgMenzies
65
86 kgMeier
66
61 kgEuser
71
56 kgStewart
73
72 kgRoth
85
70 kgJones
108
64 kgRoutley
109
69 kgBeyer
132
63 kgSchultz
156
70 kgFraser
176
71 kgPowers
180
68 kg
4
63 kgKilleen
11
65 kgLowe
12
64 kgStević
14
66 kgPate
15
73 kgMitchell
18
70 kgFrattini
26
63 kgTuft
30
77 kgTaberlay
34
62 kgHaedo
41
73 kgKing
50
78 kgClinger
58
77 kgLewis
64
65 kgMenzies
65
86 kgMeier
66
61 kgEuser
71
56 kgStewart
73
72 kgRoth
85
70 kgJones
108
64 kgRoutley
109
69 kgBeyer
132
63 kgSchultz
156
70 kgFraser
176
71 kgPowers
180
68 kg
Weight (KG) →
Result →
86
56
4
180
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | WOHLBERG Eric | 63 |
| 11 | KILLEEN Liam | 65 |
| 12 | LOWE Trent | 64 |
| 14 | STEVIĆ Ivan | 66 |
| 15 | PATE Danny | 73 |
| 18 | MITCHELL Glen | 70 |
| 26 | FRATTINI Davide | 63 |
| 30 | TUFT Svein | 77 |
| 34 | TABERLAY Sid | 62 |
| 41 | HAEDO Juan José | 73 |
| 50 | KING Edward | 78 |
| 58 | CLINGER David | 77 |
| 64 | LEWIS Craig | 65 |
| 65 | MENZIES Karl | 86 |
| 66 | MEIER Christian | 61 |
| 71 | EUSER Lucas | 56 |
| 73 | STEWART Jackson | 72 |
| 85 | ROTH Ryan | 70 |
| 108 | JONES Chris | 64 |
| 109 | ROUTLEY Will | 69 |
| 132 | BEYER Chad | 63 |
| 156 | SCHULTZ Sam | 70 |
| 176 | FRASER Gordon | 71 |
| 180 | POWERS Jeremy | 68 |