Purchasing Power Parity theory follows the concept of one price. A dollar should have same value in every country. If one product is worth one dollar in country 'A', it should be worth same one dollar in country 'B'. And if there are any differences, market forces will adjust those differences by showing their affect on imports/exports.
Net Exports (Exports-Imports) have inverse correlation with the real exchange rate. The lower the exchange rate, the less expensive are domestic goods relative to foreign goods, thus the greater are our net exports.
If your home currency is stronger than the foreign currency, that means foreign goods are cheaper and therefore net exports will decrease. However if local currency is weak, that means domestic goods are cheaper, therefore exports will increase and imports will decrease causing an increase in net exports.
Let us test this theory on the actual data of Pakistan.
As discovered by the above experiment, the theory does have a point.

YearReal_Exchange_RateExportsImports
1980202.124993232901092.572246347873098.03869
1981229.146103389497117.866226601897629.02912
1982209.893353154729520.612656721839746.71199
1983202.738213662621180.445096607694675.66819
1984207.030423286530740.032677355744358.94291
1985193.372733509101707.266767090127076.54375
1986159.581814035982897.937067200329462.07479
1987141.105544928011006.595097570955417.21271
1988136.788005282184414.623318623660010.59930
1989128.151806005657389.319819112947789.20635
1990121.189336834726234.0408610205366734.07660
1991118.690887941736412.8345910997458784.58850
1992116.626868472573666.6056512399961066.49240
1993115.201988366368531.4848012018661354.09040
1994114.389958869455611.7276011884759296.53890
1995113.6496610213602183.1597014185295078.08500
1996110.6418110523484820.7401015622529174.60080
1997112.161879975895498.6724713408451099.94280
1998113.738689155000000.0000011996000000.00000
1999105.249568945000000.0000011565000000.00000
2000103.261819997000000.0000012026000000.00000
200193.8378110471000000.0000011952000000.00000
200297.1859812158000000.0000012566000000.00000
200394.4648114775000000.0000015210000000.00000
200493.7833116027010000.0000022007000000.00000
200596.6648919105000000.0000029275200000.00000
200699.3968120540000000.0000035098000000.00000
200798.1451921946000000.0000037586000000.00000
200894.5039625472500000.0000047929000000.00000
200995.1306722313000000.0000035151430000.00000
2010100.0000028056000000.0000040016000000.00000
2011102.8234331433000000.0000047151000000.00000
2012104.3892331374000000.0000048902000000.00000
2013102.3059730043000000.0000049167000000.00000
2014109.7421830600000000.0000051141000000.00000
2015119.8119828604000000.0000048622000000.00000
2016122.5126726813000000.0000051599000000.00000
2017124.7872228885000000.0000063573000000.00000
2018107.0902630130900000.0000067869240000.00000
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