H0 = there is no statically significant linear model that can predict food insecurity in both least developed and developed countries as the result of the global climate change.
Ha = there is a statically significant linear model that can predict food insecurity in both least developed and developed countries as the result of the global climate change.
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Is the slope significantly different than 0? (t-test)
To examine the relationship between food insecurity and the exposure to disasters (floods, droughts, and extreme weather events), thirty countries have been randomly selected. For this experiment, food insecurity is viewed as the effects of which floods, droughts, and extreme weather events that each country may experience over the course one year—2009. The percentage of droughts, floods, and extreme weather recorded in percentage is used to predict the food insecurity that each country was reported by FAO (2014). Dataset for both variables are from the same year of 2009.
This paper intends to make analysis on the global exposure of climate change in 30 countries using the percentage of droughts, floods and extreme weather events under the effects of climatic conditions. A dataset of 30 countries for the percentage of flood, droughts, and extreme events were combined with a national food insecure in 2009. To run this analysis, two continuous variables are used, these variables are (1). Food insecurity people experience in each country (in percentage) which is the dependent variable;
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