Final answer:
The type of model that would best fit the data is Linear because the monthly sales are increasing by a constant amount of $100.
Step-by-step explanation:
The type of model that would best fit the data is Linear.
The reason for this is that the monthly sales are increasing by a constant amount of $100. In a linear model, the relationship between the input and output is a straight line. Since the sales are increasing in a constant pattern, it can be represented by a linear equation.
For example, if the initial sales in the first month are $500, the sales for the second month would be $600, for the third month it would be $700, and so on. This pattern can be represented by the equation y = 100x + 500, where y represents the sales and x represents the number of months.
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