regression analysis models for food expenditure
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food_exp=-97.18645+132.1659*lnincome+e (liner-log) lnfood_exp=4.780239+0.0400301*income+e (log-liner) lnfood_exp=3.963567+0.5558812*lnincome+e (log-log) 100 200 300 400 500 600 010203040 weekly household income household food expenditure per weekfitted values 0 .001 .002 .003 .004 .005 density -200-1000100200 residuals 100 200 300 400 500 600 010203040 weekly household income household food expenditure per weekexplnyhat2 0 .5 1 1.5 density -1-.50.5 residuals 100 200 300 400 500 600 010203040 weekly household income household food expenditure per weekexplnyhat3 0 .5 1 1.5 density -1-.50.5 residuals
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