STAT730 Advanced Research Methods Assignment #3 due date 6 Feb 2017

Purpose of Assignment # 3 STAT730: The purpose of the assignment is to learn how to perform Linear Regression Analysis. By learning this technique, students will be able to practically learn how to conduct data analysis, test relationships between IVs and DVs and it will eventually help in thesis writing.

Linear Regression Analysis is used as one of the most frequent data analysis tool in research. It is used to understand a phenomenon (DV) by using single or multiple IVs, thus we build a model for the phenomenon which may deem to be true or not. In its simplest form, regression analysis allows us to analyze relationships between independent and dependent variable/s with the power of prediction and may help in trend analysis. Various tests are then employed to determine if the model is satisfactory. If the model is deemed satisfactory, the estimated regression equation can be used to predict the value of the dependent variable given values for the independent variables.

Asassignment Qestions

From the given data, you are required to mention and explain the following:-

  • Is model significant? (5 marks)
  • Value of R square and its interpretation. (5 marks)
  • Write the regression equation of significant predictors with explanation. (10 marks)

A researcher wants to predict the possibility of a heart attack with the help of „Cortisol‟ hormone. He observed „Cortisol‟ hormone of 100 participants, but also recorded their “cholesterol”, “daily walk”, “heart rate”, “weight”, “low blood pressure (LBP)” and “high blood pressure (HBP)”. The goal is to be able to predict „Cortisol‟ based on these six attributes: cholesterol, daily walk, heart rate, weight, low blood pressure and high blood pressure. Data set of Cortisol can be downloaded from the following link:-

Click here to Download Cortisol Data file 

Sample Solution Format 


About Mian

Qualification:- M.Phil ((Business Administration)
Research Experience:- Experiences include data collection in qualitative research and quantitative research, data analysis at SPSS and excel sheet,report writing and presentation of findings.

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