Answer: a.Increasing customer satisfaction by one unit will increase profits by 2.4
Explanation:
Slopes measure the change in the dependent variable as a result of a change in the independent variable.
In the above scenario, if customer satisfaction was being used to predict profits that would mean that customer satisfaction is the independent variable and profits are the dependent variable. With a slope of 2.4 therefore, the meaning is that if customer satisfaction increases by 1 then the profits for the company will increase by 2.4.
For instance if customer satisfaction in a hotel was increased by 1 unit for 1,000 customers, the company can expect an increase in profits of $2,400.
It is log-linear which is the best fit to the data?
Answer:
d. Continue production in the short run, but exit the business in the long run unless prices are expected to rise or costs to fall..
Explanation:
Currently, their sales revenue less variable cost is positive as it can sale at $1.50 dollars and the variables cost are less than that. Therefore, there are fixed cost thefirm can pay because it produce.
Now, in the long-run when the firm can exit the market it should consider to do so if it continues to get an average cost above the selling price.
