The three things I learned this week is no matter how much information a bar or chart graphs may have their maybe still a need of dialogue for clarifying interpretation this helps to maximize understanding of what is being projected Second I learned that there is a formula for correlation analysis that is performed through a series of calculations and last I learned that positive correlation is another measure and is almost like a hypothesis What I researched and believe what I learned is important to me is that cause and effect maybe property of interpretation more so than the obvious when it comes to correlation analysis One has to look at what is to be measured or evaluated by looking at what exactly is changing the value or variable and clarifying if the research is valid based upon the information provided I plan to use the concepts by understanding how and why the variables are associated and the difference it makes or comparison I gather from research I am currently working on an automation project where I have to measure speed cost and time I will be sure to incorporate correlation analysis for a thorough evaluation
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