Following regression show the relationship between the food expenditure (y) and income (x). y^=12 566ln(x) where ln is a natural log. We can interpret the slope coefficient as: a 1 dollar increase in income will increase food expenditure on average by $5.66 a 1% increase in income will increase food expenditure on average by $566 a 1% increase in income will increase food expenditure on average by $5.66 a 1% increase in income will increase food expenditure on average by 5.66% a 1 dollar increase in income will increase food expenditure on average by $5.66%