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 = -0.3 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hamilton
1
70 kgHamilton
2
71 kgScotson
3
76 kgDonohoe
4
62 kgStorer
5
63 kgHarper
6
67 kgHindley
7
60 kgCavanagh
8
72 kgO'Connor
9
67 kgLowndes
10
82 kgMonk
11
67 kgNewbery
13
75 kgBowden
14
65 kgSchultz
15
68 kgOvett
16
64 kgCarman
25
66 kgJenner
26
64 kgSunderland
53
67 kg
1
70 kgHamilton
2
71 kgScotson
3
76 kgDonohoe
4
62 kgStorer
5
63 kgHarper
6
67 kgHindley
7
60 kgCavanagh
8
72 kgO'Connor
9
67 kgLowndes
10
82 kgMonk
11
67 kgNewbery
13
75 kgBowden
14
65 kgSchultz
15
68 kgOvett
16
64 kgCarman
25
66 kgJenner
26
64 kgSunderland
53
67 kg
Weight (KG) →
Result →
82
60
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMILTON Chris | 70 |
| 2 | HAMILTON Lucas | 71 |
| 3 | SCOTSON Miles | 76 |
| 4 | DONOHOE Alistair | 62 |
| 5 | STORER Michael | 63 |
| 6 | HARPER Chris | 67 |
| 7 | HINDLEY Jai | 60 |
| 8 | CAVANAGH Ryan | 72 |
| 9 | O'CONNOR Ben | 67 |
| 10 | LOWNDES Jason | 82 |
| 11 | MONK Cyrus | 67 |
| 13 | NEWBERY Dylan | 75 |
| 14 | BOWDEN Scott | 65 |
| 15 | SCHULTZ Nick | 68 |
| 16 | OVETT Freddy | 64 |
| 25 | CARMAN Ben | 66 |
| 26 | JENNER Samuel | 64 |
| 53 | SUNDERLAND Dylan | 67 |