Linear Regression Project

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    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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