The first dataset contains cross-sectional data, that is, data collected at approximately the same point in time. This data is contained in the Excel file MircoAnalysis. Here you have to analyze the given data to understand what impact 6 potential variables have on salary. Regression in this example is used to explain the impact of possible variables.
You will have to examine the data and make necessary modifications to create a multiple regression model.
In addition to the model output (from Excel), answer the following on the tab “Final Regression Model”:
How does each independent variable in your model, affect the salary?
What is the r-squared value and what does it mean to salary?
Which variables (even if they may not end up being in the final model) required transformation into dummy variables?
What does the p-values of each independent variable mean?
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The first dataset contains cross-sectional data, that is, data collected at approximately the same p...
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