Lydo Cinema Chain based in Melbourne, owns three cinemas in the suburbs of Camberwell, South Yarra and Ringwood. It has prepared budgets for the coming year based upon a ticket price of $20. Particulars Camberwell South Yarra Ringwood Budgeted revenue from ticket sales 1,500,000 1,250,000 750,000 Costs: Film license 510,000 390,000 380,000 Wages and salaries 295,000 265,000 175,000 Overheads 495,000 395,000 345,000 Total costs 1,300,000 1,050,000 900,000 Included in the overhead figures are the Head Office fixed costs that amount to $750,000, these have been allocated to each cinema based on budgeted ticket receipts. All other costs are variable. The top management is concerned about the Ringwood cinema and the fact that it is showing a budgeted loss and is considering closing the cinema and selling the site to a Property Developer. Required: (a) Prepare marginal costing income statements to show contributions for each cinema and contribution and profit for the overall chain based on the original budget. (b) Prepare marginal costing income statements to show contributions for each cinema and contribution and profit for the overall chain assuming Ringwood cinema is closed. (c) Based on your calculations in requirement (b) above, do you think that Ringwood cinema should be closed? Justify your answer with appropriate explanation. (d) What is the contribution per ticket sale at each cinema? (e) What is the margin of safety in revenue for the chain at the budgeted level of activity if the Ringwood cinema is kept open? (f) What is the margin of safety in revenue for the chain at the budgeted level of activity if the Ringwood cinema is closed? (g) If the Ringwood cinema is kept open, management would like to increase its profitability. One suggestion is that ticket sales at Ringwood cinema can be increased by 60% by an advertising campaign directed at Ringwood that will add $20,000 to the chain's fixed costs. Do you think that the advertising campaign should be undertaken to improve the cinema's profitability? Give reasons for your decision.

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information.

Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household. Click here for the Excel Data File a-1. Develop a correlation matrix. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.) a-2. Do you see any problem with multicollinearity? b-1. Determine the regression equation. (Round your answer to 3 decimal places.) b-2. How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.) c-1. What is the value of R2? (Round your answer to 3 decimal places.) c-2. Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 4 decimal places and F to 2 decimal places.) c-3. State the decision rule for 0.05 significance level. H0: = β1 = β2 = 0; H1: Not all βi's = 0. (Round your answer to 2 decimal places.) c-4. Can we reject H0: = β1 = β2 = 0? d-1. Complete the table given below. (Leave no cells blank - be certain to enter "0" wherever required. Round Coefficient, SE Coefficient, P to 4 decimal places and T to 2 decimal places.) d-2. Would you consider deleting either of the independent variables? State true or false. picture From the graph the residuals appear normally distributed. True False Choose the right option from the following graph. picture There is a homoscedasticity problem. There is no homoscedasticity problem.

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.

   a) Develop a correlation matrix. Do you see any problems with multicollinearity?  

   b) Determine the regression equation. Discuss the regression equation. How much does an additional family member add to the amount spent on food?  

     c) What is the value of R2? Can we conclude the model is significant?  

     d) Would you consider deleting either of the independent variables?  

     e) Plot the residuals in a histogram. Is there any problem with the normality assumption?

     f) Plot the fitted values against the residuals. Does this plot indicate any problems with homoscedasticity?

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the sample information and it is in the file Kelley’s Super Grocery. Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.

   a) Develop a correlation matrix. Do you see any problems with multicollinearity?  

   b) Determine the regression equation. Discuss the regression equation. How much does an additional family member add to the amount spent on food?

     c) What is the value of R2? Can we conclude the model is significant?  

     d) Would you consider deleting either of the independent variables?  

     e) Plot the residuals in a histogram. Is there any problem with the normality assumption?

     f) Plot the fitted values against the residuals. Does this plot indicate any problems with homoscedasticity?

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.

   a) Develop a correlation matrix. Do you see any problems with multicollinearity?  

   b) Determine the regression equation. Discuss the regression equation. How much does an additional family member add to the amount spent on food?  

     c) What is the value of R2? Can we conclude the model is significant?  

     d) Would you consider deleting either of the independent variables?  

     e) Plot the residuals in a histogram. Is there any problem with the normality assumption?

     f) Plot the fitted values against the residuals. Does this plot indicate any problems with homoscedasticity?

Using the South University Online Library, the Internet, and your interactions with your local healthcare department and professionals, create a 4- to 5-page needs assessment in a Microsoft Word document that:

Identifies and describes in detail a public health problem that is significant in your community. Provides an introduction to the problem.

The introduction should describe the impact of the problem on your community and rationale for its selection.

Identifies, describes, and justifies your selection of the level of the public health pyramid at which the assessment will be conducted Develops a needs assessment plan for addressing the selected problem in your community.

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information.

Develop a correlation matrix. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.)

Determine the regression equation. (Round your answer to 3 decimal places.)

How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.)

What is the value of R²? (Round your answer to 3 decimal places.)

Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 4 decimal places and F to 2 decimal places.)

State the decision rule for 0.05 significance level. H₀: = β₁ = β₂ = 0; H₁: Not all β_i's = 0. (Round your answer to 2 decimal places.)

Complete the table given below. (Leave no cells blank - be certain to enter "0" wherever required. Round Coefficient, SE Coefficient, P to 4 decimal places and T to 2 decimal places.)

Predictor SE Coefficient t p-value

Constant

Income

Size

I just returned from a research trip to South Dakota and started to enter my data into a spreadsheet and realized that there were 60 statisticians (You) meeting each Monday and Wednesday morning. When asked, the 60 statisticians were elated to help me in do an analysis. I wanted to determine if sharp-tailed grouse flight speed was affected by length of primary feathers. Don’t get overly excited, but here are the data. There are not very many measurements, so I presume they are not normally distributed. Analyze and interpret. In your own words (a few sentences will suffice), draw some conclusions about our results. Include all of the information necessary for publication.

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information.

Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.

1. a-2. Do you see any problem with multicollinearity?

1. b-1. Determine the regression equation. (Round your answer to 3 decimal places.)

The regression equation is:  

Food=_________+_________Income+________size.  

1. b-2. How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.)

Another member of the family adds__________to the food bill.

1. c-1. What is the value of R²? (Round your answer to 3 decimal places.)

R2________

1. c-2. Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 4 decimal places and F to 2 decimal places.)

Source DF SS MS F p-value

Regression

Error

Total

1. c-3. State the decision rule for 0.05 significance level. H₀: = β₁ = β₂ = 0; H₁: Not all β_i's = 0. (Round your answer to 2 decimal places.)

H0 is rejected if F>______

1. c-4. Can we reject H₀: = β₁ = β₂ = 0?

______H0. At least one of the regression coefficients is ______

1. d-1. Complete the table given below. (Leave no cells blank - be certain to enter "0" wherever required. Round Coefficient, SE Coefficient, P to 4 decimal places and T to 2 decimal places.)

1. d-2. Would you consider deleting either of the independent variables?

5. State true or false.

From the graph the residuals appear normally distributed.

• True

• False

6. Choose the right option from the following graph.

• There is a homoscedasticity problem.

• There is no homoscedasticity problem.

Bob the Farmer grows vegetables at his farm in South Dakota. He grows his vegetables for sale to food companies. On November 1, he sells his vegetables to Granny’s Pie Company for $65,000, inclusive of 13% VAT. Granny’s Pie Company uses his vegetables to produce savory meat and vegetable pies (they’re huge in the UK). After the production of the pies is complete, Granny’s Pie Company sells the pies to Winn Dixie Grocery Stores for $140,000, inclusive of 13% VAT. Winn Dixie Grocery Stores subsequently sell all of the pies to consumers for $200,000, inclusive of 13% VAT. Assume that meat and vegetable pies are not subject to VAT exemptions (the government has deemed them not essential).

a) How much VAT is remitted to the government in total?

b) How much VAT is remitted to the government at each stage in the production process, and by whom? 4 points Advanced Taxation Spring 2020 c) How much net tax burden is economically borne by each participant in the production process/supply chain?