Question: This data set contains information on 78 people using one of three diets. Variable name Variable Data type Person Participant number gender Gender, 1 =
This data set contains information on 78 people using one of three diets.
Variable name | Variable | Data type |
Person | Participant number | |
gender | Gender, 1 = male, 0 = female | Binary |
Age | Age (years) | Scale |
Height | Height (cm) | Scale |
preweight | Weight before the diet (kg) | Scale |
Diet | Diet | Binary |
weight10weeks | Weight after 10 weeks (kg) | Scale |
weightLOST | Weight lost after 10 weeks (kg) | Scale |
The research questions for this data set:
- Is there a relationship between the type of diet and weight loss?
- Is there a significant difference in the height mean scores for males and females?
- Is there a difference in age scores for young, middle, and older aged participants?
Data Analysis:
1. Run a statistical analysis on at least four variables from the diet data set. Include whether the statistical test requires categorical or continuous variables for analysis and identify the label for each variable
| Person | gender | Age | Height | preweight | Diet | weight10weeks | weightLOST |
| 25 | -99 | 41 | 171 | 60 | 2 | 60.0 | 0.00 |
| 26 | -99 | 32 | 174 | 103 | 2 | 103.0 | 0.00 |
| 1 | 0 | 22 | 159 | 58 | 1 | 54.2 | 3.80 |
| 2 | 0 | 46 | 192 | 60 | 1 | 54.0 | 6.00 |
| 3 | 0 | 55 | 170 | 64 | 1 | 63.3 | 0.70 |
| 4 | 0 | 33 | 171 | 64 | 1 | 61.1 | 2.90 |
| 5 | 0 | 50 | 170 | 65 | 1 | 62.2 | 2.80 |
| 6 | 0 | 50 | 201 | 66 | 1 | 64.0 | 2.00 |
| 7 | 0 | 37 | 174 | 67 | 1 | 65.0 | 2.00 |
| 8 | 0 | 28 | 176 | 69 | 1 | 60.5 | 8.50 |
| 9 | 0 | 28 | 165 | 70 | 1 | 68.1 | 1.90 |
| 10 | 0 | 45 | 165 | 70 | 1 | 66.9 | 3.10 |
| 11 | 0 | 60 | 173 | 72 | 1 | 70.5 | 1.50 |
| 12 | 0 | 48 | 156 | 72 | 1 | 69.0 | 3.00 |
| 13 | 0 | 41 | 163 | 72 | 1 | 68.4 | 3.60 |
| 14 | 0 | 37 | 167 | 82 | 1 | 81.1 | 0.90 |
| 27 | 0 | 44 | 174 | 58 | 2 | 60.1 | -2.10 |
| 28 | 0 | 37 | 172 | 58 | 2 | 56.0 | 2.00 |
| 29 | 0 | 41 | 165 | 59 | 2 | 57.3 | 1.70 |
| 30 | 0 | 43 | 171 | 61 | 2 | 56.7 | 4.30 |
| 31 | 0 | 20 | 169 | 62 | 2 | 55.0 | 7.00 |
| 32 | 0 | 51 | 174 | 63 | 2 | 62.4 | 0.60 |
| 33 | 0 | 31 | 163 | 63 | 2 | 60.3 | 2.70 |
| 34 | 0 | 54 | 173 | 63 | 2 | 59.4 | 3.60 |
| 35 | 0 | 50 | 166 | 65 | 2 | 62.0 | 3.00 |
| 36 | 0 | 48 | 163 | 66 | 2 | 64.0 | 2.00 |
| 37 | 0 | 16 | 165 | 68 | 2 | 63.8 | 4.20 |
| 38 | 0 | 37 | 167 | 68 | 2 | 63.3 | 4.70 |
| 39 | 0 | 30 | 161 | 76 | 2 | 72.7 | 3.30 |
| 40 | 0 | 29 | 169 | 77 | 2 | 77.5 | -0.50 |
| 52 | 0 | 51 | 165 | 60 | 3 | 53.0 | 7.00 |
| 53 | 0 | 35 | 169 | 62 | 3 | 56.4 | 5.60 |
| 54 | 0 | 21 | 159 | 64 | 3 | 60.6 | 3.40 |
| 55 | 0 | 22 | 169 | 65 | 3 | 58.2 | 6.80 |
| 56 | 0 | 36 | 160 | 66 | 3 | 58.2 | 7.80 |
| 57 | 0 | 20 | 169 | 67 | 3 | 61.6 | 5.40 |
| 58 | 0 | 35 | 163 | 67 | 3 | 60.2 | 6.80 |
| 59 | 0 | 45 | 155 | 69 | 3 | 61.8 | 7.20 |
| 60 | 0 | 58 | 141 | 70 | 3 | 63.0 | 7.00 |
| 61 | 0 | 37 | 170 | 70 | 3 | 62.7 | 7.30 |
| 62 | 0 | 31 | 170 | 72 | 3 | 71.1 | 0.90 |
| 63 | 0 | 35 | 171 | 72 | 3 | 64.4 | 7.60 |
| 64 | 0 | 56 | 171 | 73 | 3 | 68.9 | 4.10 |
| 65 | 0 | 48 | 153 | 75 | 3 | 68.7 | 6.30 |
| 66 | 0 | 41 | 157 | 76 | 3 | 71.0 | 5.00 |
| 15 | 1 | 39 | 168 | 71 | 1 | 71.6 | -0.60 |
| 16 | 1 | 31 | 158 | 72 | 1 | 70.9 | 1.10 |
| 17 | 1 | 40 | 173 | 74 | 1 | 69.5 | 4.50 |
| 18 | 1 | 50 | 160 | 78 | 1 | 73.9 | 4.10 |
| 19 | 1 | 43 | 162 | 80 | 1 | 71.0 | 9.00 |
| 20 | 1 | 25 | 165 | 80 | 1 | 77.6 | 2.40 |
| 21 | 1 | 52 | 177 | 83 | 1 | 79.1 | 3.90 |
| 22 | 1 | 42 | 166 | 85 | 1 | 81.5 | 3.50 |
| 23 | 1 | 39 | 166 | 87 | 1 | 81.9 | 5.10 |
| 24 | 1 | 40 | 190 | 88 | 1 | 84.5 | 3.50 |
| 41 | 1 | 51 | 191 | 71 | 2 | 66.8 | 4.20 |
| 42 | 1 | 38 | 199 | 75 | 2 | 72.6 | 2.40 |
| 43 | 1 | 54 | 196 | 75 | 2 | 69.2 | 5.80 |
| 44 | 1 | 33 | 190 | 76 | 2 | 72.5 | 3.50 |
| 45 | 1 | 45 | 160 | 78 | 2 | 72.7 | 5.30 |
| 46 | 1 | 37 | 194 | 78 | 2 | 76.3 | 1.70 |
| 47 | 1 | 44 | 163 | 79 | 2 | 73.6 | 5.40 |
| 48 | 1 | 40 | 171 | 79 | 2 | 72.9 | 6.10 |
| 49 | 1 | 37 | 198 | 79 | 2 | 71.1 | 7.90 |
| 50 | 1 | 39 | 180 | 80 | 2 | 81.4 | -1.40 |
| 51 | 1 | 31 | 182 | 80 | 2 | 75.7 | 4.30 |
| 67 | 1 | 36 | 155 | 71 | 3 | 68.5 | 2.50 |
| 68 | 1 | 47 | 179 | 73 | 3 | 72.1 | 0.90 |
| 69 | 1 | 29 | 166 | 76 | 3 | 72.5 | 3.50 |
| 70 | 1 | 37 | 173 | 78 | 3 | 77.5 | 0.50 |
| 71 | 1 | 31 | 177 | 78 | 3 | 75.2 | 2.80 |
| 72 | 1 | 26 | 179 | 78 | 3 | 69.4 | 8.60 |
| 73 | 1 | 40 | 179 | 79 | 3 | 74.5 | 4.50 |
| 74 | 1 | 35 | 183 | 83 | 3 | 80.2 | 2.80 |
| 75 | 1 | 49 | 177 | 84 | 3 | 79.9 | 4.10 |
| 76 | 1 | 28 | 164 | 85 | 3 | 79.7 | 5.30 |
| 77 | 1 | 40 | 167 | 87 | 3 | 77.8 | 9.20 |
| 78 | 1 | 51 | 175 | 88 | 3 | 81.9 | 6.10 |
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