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In this paper a set of constants for Angstrom-type correlation of the first and second order has been determined to estimate monthly average daily global solar radiation using sunshine hours for Katsina (Lat 12° 59' 52" N, Long 7° 35' 5" E). The predictive efficiencies of the models are compared with the actual efficiency. It is discovered that the second order model is better than the first order because R=0.702 while R=0.345 for the first order. SPSS software is used to determine the regression coefficients.doi:10.4314/bajopas.v4i2.5 fatcat:ohj4bllbcja4jeuk7x5kl6bjqq