Linear Regression Project 

World Bank Data Analysis

http://data.worldbank.org/indicator

Using the World Bank database, analyze the association of two indicators that may have an interesting association.

•    What association do you predict there is between these two indicators/variables? Why?

•    Create a neat data table of two indicators for 20 countries; try to use two data sets from the same year.    
•    Create a scatterplot. Include clearly labeled explanatory/response variables and the regression line.

•    Describe the association between the variables

•    Determine whether a linear model is appropriate for your data. Explain why, and support with a residuals plot.

•    Include the equation of the regression line, r and r2 values (use proper notation).

•    Interpret the slope in context.

•    Interpret the y-intercept in context.

•    Note and interpret any outliers or note the absence of outliers. Be sure to cite specific points/countries.

•    Make a prediction from the model.

•    Comment on the accuracy of your prediction. What does r2 tell you about the predictive power of the model?

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