Reference no: EM132453442

Select a topic of interest

Pet Industry Transportation IndustryPharmaceutical IndustryMerchandizing IndustryAverage annual income that can be measured by US GDP. In theory, it is argued that as the average annual income increases, consumers will be inclined to make more purchases. So, the relationship between pet sales and average income is expected to be positive. After we have defined the theoretical relationship between the dependent and independent variable, we proceed to collect data on the variables for the purpose of testing. Does the data provide evidence of the theoretical relationship between Sales (Y) and income( X). Details on the expected relationship will be covered in chapter 13 in the course.Construct a frequency distribution or histogram for  your variable

Graphically depict your data using two other methods studied (scatter plot/trend line/ histogram/pie chart).

Establish your hypothesis; that is the expected sign(s) between the dependent and independent variables. After you have established the various hypotheses, narrow down your research to only one hypothesis. Run an OLS regression to test the significance of the theoretical signs expected What is the Y-interceptCompute the slopeR squareIs the explanatory variable significant at the 5% level? that is what is the "t" value? Estimate the regression equation and graphically show the regression lineCompute the p-value

Comments on your results - this is important so think carefully and write.

Format:

• Introduction
• Background material to your topic (the industry)
• The scope of your research ( what aspect of the industry are you focusing on)
• State the overall purpose of your research ( to evaluate, to examine whether a relationship exists)
• Your main findings (offer an analysis); make recommendations, etc.
• Body
• Summary
• Conclusion (main findings)
• References
• APA:
• Double lines
• APA style                                                                       
• Times Numeral Font
• Errors free