Do not use pandas and seaborn. take the two following excerpts from the National Health and Nutrition Examination Survey $($NHANES dataset$)$: $$ nhanes$\_$adult$\_$male$\_$bmx$\_2020.$csv$,$ nhanes$\_$adult$\_$female$\_$bmx$\_2020.$csv$.$ They give body measurements of adult males and females. $2.$ Read the two files as numpy matrices named male and female. Each matrix consists of seven columns: $1.$ weight $($kg$),2.$ standing height $($cm$),3.$ upper arm length $($cm$),4.$ upper leg length $($cm$),5.$ arm circumference $($cm$),6.$ hip circumference $($cm$),7.$ waist circumference $($cm$),$ Find BMI of female and add them in column $8.$ BMI. Draw a scatterplot matrix $($pairplot$)$ for the standardised versions of height, weight, waist circumference, hip circumference, and BMI of the females $($based on zfemale$).$ Compute Pearson$$s and Spearman$$s correlation coefficients for all pairs of variables. Interpret the obtained results. Use only Numpy and Scipy. Do not use pandas and seaborn.