Quick Measure Correlation Coefficient

Anonymous 

You can use the Quick Measure after adding an Index column to your dataset if you do not have a column with unique values. This is required by the Quick Measure to calculate the correlation coefficient over a category.

If you really need to calculate with only two columns then find below the modified measure. I have also attached the PBIX file. Do verify the result from your model. 

Age and Gluco correlation = 
VAR __CORRELATION_TABLE = 'Table'
VAR __COUNT =
	COUNTX(
		KEEPFILTERS(__CORRELATION_TABLE),
		CALCULATE(SUM('Table'[Age]) * SUM('Table'[Gluco]))
	)
VAR __SUM_X = SUMX(KEEPFILTERS(__CORRELATION_TABLE), CALCULATE(SUM('Table'[Age])))
VAR __SUM_Y = SUMX(KEEPFILTERS(__CORRELATION_TABLE), CALCULATE(SUM('Table'[Gluco])))
VAR __SUM_XY =
	SUMX(
		KEEPFILTERS(__CORRELATION_TABLE),
		CALCULATE(SUM('Table'[Age]) * SUM('Table'[Gluco]) * 1.)
	)
VAR __SUM_X2 =
	SUMX(
		KEEPFILTERS(__CORRELATION_TABLE),
		CALCULATE(SUM('Table'[Age]) ^ 2)
	)
VAR __SUM_Y2 =
	SUMX(
		KEEPFILTERS(__CORRELATION_TABLE),
		CALCULATE(SUM('Table'[Gluco]) ^ 2)
	)
RETURN
	DIVIDE(
		__COUNT * __SUM_XY - __SUM_X * __SUM_Y * 1.,
		SQRT(
			(__COUNT * __SUM_X2 - __SUM_X ^ 2)
				* (__COUNT * __SUM_Y2 - __SUM_Y ^ 2)
		)
	)