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 = -0.5 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Quarterman
1
75 kgHayter
2
70 kgVernon
3
74 kgWright
5
75 kgScott
6
73 kgPidcock
7
58 kgStewart
9
66 kgWood
10
66 kgWood
12
67 kgTurner
14
74 kgKyffin
17
72 kgBurnett
20
71 kgLaverick
21
68 kgTulett
27
56 kgTidball
31
70 kgKimber
33
70 kgWalls
35
72 kgBrown
37
68 kgRobertson
42
75 kgEllis
43
61.5 kg
1
75 kgHayter
2
70 kgVernon
3
74 kgWright
5
75 kgScott
6
73 kgPidcock
7
58 kgStewart
9
66 kgWood
10
66 kgWood
12
67 kgTurner
14
74 kgKyffin
17
72 kgBurnett
20
71 kgLaverick
21
68 kgTulett
27
56 kgTidball
31
70 kgKimber
33
70 kgWalls
35
72 kgBrown
37
68 kgRobertson
42
75 kgEllis
43
61.5 kg
Weight (KG) →
Result →
75
56
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUARTERMAN Charlie | 75 |
| 2 | HAYTER Ethan | 70 |
| 3 | VERNON Ethan | 74 |
| 5 | WRIGHT Fred | 75 |
| 6 | SCOTT Robert | 73 |
| 7 | PIDCOCK Thomas | 58 |
| 9 | STEWART Jake | 66 |
| 10 | WOOD Harrison | 66 |
| 12 | WOOD Reece | 67 |
| 14 | TURNER Ben | 74 |
| 17 | KYFFIN Zeb | 72 |
| 20 | BURNETT Marcus | 71 |
| 21 | LAVERICK Joseph | 68 |
| 27 | TULETT Daniel | 56 |
| 31 | TIDBALL William | 70 |
| 33 | KIMBER George | 70 |
| 35 | WALLS Matthew | 72 |
| 37 | BROWN Jim | 68 |
| 42 | ROBERTSON Adam | 75 |
| 43 | ELLIS Matthew | 61.5 |