• Describing your data and reporting source of the data.
• Explaining why it is a categorical data and why it is important to analyze it.
• Examining different models which could fit to your data.
• Using a model selection criterion to select the best model among the models that were fitting to your data.
• Explaining the meaning of your selected model in the context of the data.
• Summarizing your findings from the analysis.
• Explaining your final conclusion and discussing the results.
Your report may include the following sections:
• Introduction: Statement of the problem.
• Material and Methods: Description of your data and the methods you have used for the analysis.
• Results: Explanation of the results of your analyses. You can cut and paste some of your computer outputs and refer to them in explaining your results.
• Conclusion and Discussion: Highlighting the main points and discussing.
These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice. Unethical use is strictly forbidden.1. Describing your data and reporting source of the data.
The data set name is “Coronary Artery Disease: ECG vs. Gender”, this dataset has 78 observations and 3 variables. There is no missing value in the data set. The variables names and categories are defined as:
Gender: (1) Male, (2) Female
ECG: (1) <0.1, (2) >=0.1
disease: (1) Yes, (2) No...
By purchasing this solution you'll be able to access the following files: