Data Analysis And Statistics Case Study Example | University of Hertfordshire

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Written By: Dr. Emily Chen Dr. Emily Chen
Published: 24 Feb, 2025
Category Assignment Subject Computer Science
University University of Hertfordshire Module Title Data Analysis And Statistics

Introduction

According to this case study, we have to choose a correct statistical method to understand any analytical problem. In this case study, Regression Analysis (Linear or Logistic Regression) can be a good approach, as it will help to understand the impact of one variable on another variable. If you are doing numerical data analysis, then Correlation Analysis will also be useful, which will define the relationship between variables.
The research question guiding this analysis is: "How do weather conditions affect energy consumption in smart homes?" This research form investigates the foundation for knowledge and the relationship between various parameters and energy consumption, particularly within
the context of homes with renewable energy sources like solar power (Wang et al., 2024). The research focuses on analyzing conception based on different related factors......View More.

Table of Contents

Introduction................................................................................................................................3
Data Selection and Preprocessing..............................................................................................3
Proposed Analytical Methods....................................................................................................4
Correlation Analysis ..............................................................................................................5
Model Selection .....................................................................................................................5
Justification for Using Linear Regression..............................................................................5
Results and Model Evaluation ...................................................................................................6
Correlation Results.................................................................................................................6
Model Performance................................................................................................................7
Interpretation of Results.........................................................................................................8
Actual vs. Predicted Plot........................................................................................................8
Conclusion of Results............................................................................................................9
Conclusion ...............................................................................................................................10
References................................................................................................................................11
Appendix..................................................................................................................................11

 

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