MT8312: Global Warming with ICT Integration- ANOVA Linear Regression- Report Writing Assignment

Internal Code: IAH298

Report Writing Assignment:

Task: The dataset consists of the following variables: - Year, covering the above period (note: you cannot use this variable as an independent or dependent variable, it is used just for graph presentation) - CO2: which is a dependent variable and is measured by kilo tones per capita The independent variables include: - GDPP: The Gross Domestic Products Per capita - ICT: Which is an index of Mobile Phone subscribers, Internet Usage and the Fixed Telephone lines. - Education: Which is an index of primary, secondary and tertiary education for each country. - Stability: Which an index of regional and political stability impacting each country. - Resistance, Which is an index of barriers (lack of regulations or internal resistance) - Open: Which is an index of trade openness (the total import and export of goods and services) for each country. - PR: The level of political right for each country (6 is the highest and zero is the lowest) - CL: Civil Liberty, the existing level of civil liberty for each country (6 is the highest and zero is the lowest) By examining these variables a recommendation of the most effective and efficient strategy regarding the state of global warming with ICT integration should be formed. In this context CO2 emission data is used as a measure for the existing global warming for each country. Consider the Co2 Excel file and perform the following tasks. a) Analyze CO2 emission using ANOVA linear regression (R [lm function] or SPSS) b) Analyze CO2 emission using General Linear Model (GLM) Univariate with Region1 as a fixed factor. c) Visualize CO2 emission using IBM Watson with a focus on Heat Map and regional analysis. Write a full report about your findings.