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 + 55
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Parker
1
65 kgMancebo
3
64 kgDay
5
68 kgZirbel
6
91 kgHaga
7
71.5 kgVink
8
73 kgMorton
10
62 kgThomson
11
75 kgGudsell
16
77 kgBennett
18
58 kgHuffman
20
71 kgHowes
28
61 kgNorthey
32
69 kgSummerhill
37
70 kgRathe
41
74 kgWohlberg
63
63 kgFreiberg
68
82 kgCarlsen
71
68 kgJones
81
64 kgGaimon
91
67 kgBorrajo
100
76 kgWalker
110
63 kgKemps
121
73 kg
1
65 kgMancebo
3
64 kgDay
5
68 kgZirbel
6
91 kgHaga
7
71.5 kgVink
8
73 kgMorton
10
62 kgThomson
11
75 kgGudsell
16
77 kgBennett
18
58 kgHuffman
20
71 kgHowes
28
61 kgNorthey
32
69 kgSummerhill
37
70 kgRathe
41
74 kgWohlberg
63
63 kgFreiberg
68
82 kgCarlsen
71
68 kgJones
81
64 kgGaimon
91
67 kgBorrajo
100
76 kgWalker
110
63 kgKemps
121
73 kg
Weight (KG) →
Result →
91
58
1
121
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARKER Dale | 65 |
| 3 | MANCEBO Francisco | 64 |
| 5 | DAY Benjamin | 68 |
| 6 | ZIRBEL Tom | 91 |
| 7 | HAGA Chad | 71.5 |
| 8 | VINK Michael | 73 |
| 10 | MORTON Lachlan | 62 |
| 11 | THOMSON Jay Robert | 75 |
| 16 | GUDSELL Timothy | 77 |
| 18 | BENNETT George | 58 |
| 20 | HUFFMAN Evan | 71 |
| 28 | HOWES Alex | 61 |
| 32 | NORTHEY Michael James | 69 |
| 37 | SUMMERHILL Daniel | 70 |
| 41 | RATHE Jacob | 74 |
| 63 | WOHLBERG Eric | 63 |
| 68 | FREIBERG Michael | 82 |
| 71 | CARLSEN Kirk | 68 |
| 81 | JONES Carter | 64 |
| 91 | GAIMON Phillip | 67 |
| 100 | BORRAJO Alejandro Alberto | 76 |
| 110 | WALKER Johnnie | 63 |
| 121 | KEMPS Aaron | 73 |