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explain everything also when expressing data table use the picture below in yellow as an example Select a response (dependent) variable of your choice, for

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explain everything

also when expressing data table use the picture below in yellow as an example

image text in transcribedimage text in transcribedimage text in transcribedimage text in transcribed
Select a response (dependent) variable of your choice, for example, corn yield in the year 2019 in the USA, from the USDA site (wwwusdag); or the gasoline price at the pump in the USA in 2019; or current obesity (BMI) levels in US population from (www.cdcgm). After conducting some basic research about your selected variable, identify one classification (independent) variable correlated to your chosen dependent variable, such as rainfall (affecting corn yield), and then perform correlation analysis on your collected data. Alternatively, you can select two quantitative variables from the attached Framingham Heart Study Data, such as age, blood pressure, etc. pages in length, including data tables, results, and figures, and critically explain the correlation model. Follow APA format including a title and reference pagecarefully read the week three content as it explains how to calculate 'r", the correlation coefficient using Table 1, in a step-bystep manner. The spreadsheet for this analysis is also attached with the data file and the developed model. So basically, all you have to do is replace your data with the given dataset, and it will generate your analyses. Once you have your analysis, then develop the manuscript.

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