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The correlation coefficient analysis formula: (r) =[ nxy - (x)(y) / Sqrt([nx2 - (x)2][ny2 - (y)2])] r: The correlation coefficient is denoted by the letter

The correlation coefficient analysis formula: (r) =[ nxy - (x)(y) / Sqrt([nx2 - (x)2][ny2 - (y)2])] r: The correlation coefficient is denoted by the letter r. n: Number of values. If we had five people we were calculating the correlation coefficient for, the value of n would be 5. x: This is the first data variable. y: This is the second data variable. : The Sigma symbol (Greek) tells us to calculate the "sum of" whatever is tagged next to it. In R x < - c(your data) y<- c(your data) z<- c(your data) df<-data.frame(x,y,z) plot cor(x,y,z) cor(df,method="pearson") #As pearson correlation cor(df, method="spearman") #As spearman correlation Use corrgram( ) to plot correlograms

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