In many cases you are looking to see what effect the various predictor variables have on a particular response variable; in Table 1.8 you can see such a situation; an example of where you would use a regression analysis
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In most cases you have a response variable (also known as the dependent variable) and a number of predictor variables (also called independent variables).
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Being able to manage your data like this allows you great flexibility, especially with complicated data
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Visualize your samples using graphs.
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Correlation and regression
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As your data becomes more complicated it becomes more difficult to maintain a sensible layout (Table 1.3).
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Reporting: Disseminating your work is vitally important.
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Analyzing: The method of analysis should have been determined at the planning stage.
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Recording: The means of data collection should be determined at the planning stage although you may undertake a small pi
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Planning: This is the stage where you work out what you are going to do: formulate your ideas, undertake background research, decide on your hypothesis and determine a method of collecting the appropriate data