This research was done to explore the trends by using variables basmati prices, area in which rice were sown, coarse varieties area, coarse varieties' area and coarse varieties prices respectively to estimate the yield and productivity of basmati rice. According to the results of three models it was estimated that the price of basmati prices had a positive and significant effect on yield. The probability value showed the positive and significant effect on yield. Similarly, the area in which

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... ati sown had both significant and insignificant effect; the probability value of area sown in second models suggested the insignificant effect on yield. Another variable coarse variety area had a positive and significant effect on yield on all the three models that means this variable positively and significantly affecting the yield of basmati over the selected time. The variable of coarse varieties prices also had significant and insignificant effect, according to the probability value of this variable in third model the effect is positive but insignificant but other remaining two models are positive and significant. The last variable used i.e. coarse varieties prices had also positive and significant effect in all the three models, so it was estimated that this variable is positively affecting the yield of basmati rice. The Durbin Watson results showed that in first two models there is no autocorrelation because the value is in between 1.7 to 2.3 but in third model the value of Durbin Watson is not in the limit so it had autocorrelation among variables.