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For 0 < β1 < 1, the log-log regression model implies a positive relationship between x and E(y); as x increases, E(y) increases at a slower rate. This may be appropriate in the food expenditure example where we expect food expenditure to react positively to changes in income, with the impact diminishing at higher income levels. If β1 < 0, what is the relationship between x and E(y)?As x increases, E(y) decreases at a faster rateAs x increases, E(y) decreases at a slower rateAs x increases, E(y) increases at a slower rateImplies a positive and increasing relationship between x and y

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