Please answer all 3

Question 1:

Question 2:

Question 3:

Requirements 1. What is the total cost of producing 1,400 mailboxes? 2. If $20,202 of the total costs are fixed, what is the variable cost of producing each mailbox? 3. Write Carrier Mailbox's cost equation. 4. If the plant manager uses the average cost per unit to predict total costs. what would the forecast be for 1,900 mailboxes? 5. If the plant manager uses the cost equation to predict total costs, what would the forecast be for 1,900 mailboxes? 6. What is the dollar difference between your answers to questions 4 and 5 ? Which approach to forecasting costs is appropriate? Why? Data table Regression analysis Requirements 1. Prepare a scatter plot of Flower Power's volume (miles driven) and van operating costs. 2. Does the data appear to contain any outliers? Explain. 3. How strong of a relationship is there between miles driven and van operating costs? has the following data from the past seven montis. (Click the leon to verw the data.) Read the roguirements. Requirement 1, Prepare a scatier plot of Flower Powera volume (mles driven) and van operating eosta. Plot the corcts on the graph now. (Enlarge the graph and use the point toot bution displored beiow te drew the graph.) Carrier Mailbox produces decorative mailboxes. The company's average cost per unit is $23,43 when it produces 1,400 mailboxes. Read the requirements. Requirement 1 . What is the total cost of producing 1,400 mallboxes? The total cost of producing 1,400 mallboxes is costs. Rose Ready does a regression analysis on the next yeor's data using Excel The output generated by Fxserf is as follows (Click the icon to viow the regression maysis) Resd the tegirenerts. Requirements 1. Determine the firm's cost equation (use the output from the Excel regression). 2. Determine the R-squared (use the output from the Excel regression). What does Rose Ready's R-squared indicate? 3. Predict van operating costs at a volume of 16,500 miles assuming the company would use the cost equation from the Excel regression regardless of its R-squared. Should the company rely on this cost estimate? Why or why not? Requirements 1. What is the total cost of producing 1,400 mailboxes? 2. If $20,202 of the total costs are fixed, what is the variable cost of producing each mailbox? 3. Write Carrier Mailbox's cost equation. 4. If the plant manager uses the average cost per unit to predict total costs. what would the forecast be for 1,900 mailboxes? 5. If the plant manager uses the cost equation to predict total costs, what would the forecast be for 1,900 mailboxes? 6. What is the dollar difference between your answers to questions 4 and 5 ? Which approach to forecasting costs is appropriate? Why? Data table Regression analysis Requirements 1. Prepare a scatter plot of Flower Power's volume (miles driven) and van operating costs. 2. Does the data appear to contain any outliers? Explain. 3. How strong of a relationship is there between miles driven and van operating costs? has the following data from the past seven montis. (Click the leon to verw the data.) Read the roguirements. Requirement 1, Prepare a scatier plot of Flower Powera volume (mles driven) and van operating eosta. Plot the corcts on the graph now. (Enlarge the graph and use the point toot bution displored beiow te drew the graph.) Carrier Mailbox produces decorative mailboxes. The company's average cost per unit is $23,43 when it produces 1,400 mailboxes. Read the requirements. Requirement 1 . What is the total cost of producing 1,400 mallboxes? The total cost of producing 1,400 mallboxes is costs. Rose Ready does a regression analysis on the next yeor's data using Excel The output generated by Fxserf is as follows (Click the icon to viow the regression maysis) Resd the tegirenerts. Requirements 1. Determine the firm's cost equation (use the output from the Excel regression). 2. Determine the R-squared (use the output from the Excel regression). What does Rose Ready's R-squared indicate? 3. Predict van operating costs at a volume of 16,500 miles assuming the company would use the cost equation from the Excel regression regardless of its R-squared. Should the company rely on this cost estimate? Why or why not