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 = -1.8 * weight + 131
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Whitten
1
67 kgSmall
2
55 kgArmstrong
3
58 kgThomas
4
58 kgJackson
8
63 kgLuebke
10
54 kgBergen
12
64 kgPoidevin
17
56 kgDoebel-Hickok
21
51 kgRoorda
23
70 kgRamsden
26
62 kgKilburg
40
64 kgClevenger
41
57 kgMiller
42
52 kgTeddergreen
57
51 kgWong
68
51 kgBlais
76
53 kg
1
67 kgSmall
2
55 kgArmstrong
3
58 kgThomas
4
58 kgJackson
8
63 kgLuebke
10
54 kgBergen
12
64 kgPoidevin
17
56 kgDoebel-Hickok
21
51 kgRoorda
23
70 kgRamsden
26
62 kgKilburg
40
64 kgClevenger
41
57 kgMiller
42
52 kgTeddergreen
57
51 kgWong
68
51 kgBlais
76
53 kg
Weight (KG) →
Result →
70
51
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITTEN Tara | 67 |
| 2 | SMALL Carmen | 55 |
| 3 | ARMSTRONG Kristin | 58 |
| 4 | THOMAS Leah | 58 |
| 8 | JACKSON Alison | 63 |
| 10 | LUEBKE Jennifer | 54 |
| 12 | BERGEN Sara | 64 |
| 17 | POIDEVIN Sara | 56 |
| 21 | DOEBEL-HICKOK Krista | 51 |
| 23 | ROORDA Stephanie | 70 |
| 26 | RAMSDEN Denise | 62 |
| 40 | KILBURG Mia | 64 |
| 41 | CLEVENGER Erica | 57 |
| 42 | MILLER Amanda | 52 |
| 57 | TEDDERGREEN Starla | 51 |
| 68 | WONG Melanie | 51 |
| 76 | BLAIS Marie-Soleil | 53 |