Question: An electronics retailer used regression to find a simple model to predict sales growth in the first quarter of the new year (January through March).

An electronics retailer used regression to find a simple model to predict sales growth in the first quarter of the new year (January through March). The model is good for 90 days, where x is the day The model can be written as follows: y = 101.32 + 2.48x where y is in thousands of dollars. What would you predict the sales to be on day 60? (no $ in answer) thousands of dollars. QUESTION 2 An electronics retailer used regression to find a simple model to predict sales growth in the first quarter of the new year (January through March). The model is good for 90 days, where x is the day. The model can be written as follows: y = 101.32 + 2.48x where y is in thousands of dollars. What would you predict the sales to be on day 90? (no $ in answer) $ QUESTION 3 A landscaping company is hired to mow the grass for several large properties. The total area of the properties combined is 1,345 acres. The rate at which one person can mow is as follows: y= 1350 - 1.2x where x is the number of hours and y represents the number of acres left to mow. How many acres will be left to mow after 20 hours of work? No comma in
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