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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Blythe
1
68 kgCavendish
2
70 kgFenn
3
79 kgMcNally
4
72 kgThwaites
5
71 kgGeoghegan Hart
6
65 kgStewart
7
71 kgLawless
9
72 kgShaw
10
63 kgPeters
13
67 kgLatham
14
81 kgHolmes
15
67 kgHarper
17
67 kgLampier
19
68 kgStedman
21
54 kgDowsett
22
75 kgMcLay
23
72 kgPorter
24
73 kg
1
68 kgCavendish
2
70 kgFenn
3
79 kgMcNally
4
72 kgThwaites
5
71 kgGeoghegan Hart
6
65 kgStewart
7
71 kgLawless
9
72 kgShaw
10
63 kgPeters
13
67 kgLatham
14
81 kgHolmes
15
67 kgHarper
17
67 kgLampier
19
68 kgStedman
21
54 kgDowsett
22
75 kgMcLay
23
72 kgPorter
24
73 kg
Weight (KG) →
Result →
81
54
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLYTHE Adam | 68 |
| 2 | CAVENDISH Mark | 70 |
| 3 | FENN Andrew | 79 |
| 4 | MCNALLY Mark | 72 |
| 5 | THWAITES Scott | 71 |
| 6 | GEOGHEGAN HART Tao | 65 |
| 7 | STEWART Thomas | 71 |
| 9 | LAWLESS Chris | 72 |
| 10 | SHAW James | 63 |
| 13 | PETERS Alex | 67 |
| 14 | LATHAM Christopher | 81 |
| 15 | HOLMES Matthew | 67 |
| 17 | HARPER George | 67 |
| 19 | LAMPIER Steven | 68 |
| 21 | STEDMAN Maximilian | 54 |
| 22 | DOWSETT Alex | 75 |
| 23 | MCLAY Daniel | 72 |
| 24 | PORTER Elliott | 73 |