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Q1:1) How did the English Planning system change during the early 20th Century to today to embrace the concept of "sustainable development"? Critically discuss implications of adopting "sustainable development" within current Housing Policy or Transport Policy, including examples of specific policies.See Answer
Q2: Les Roches 2023-1 Program: Assessment title: EMIHM Assessment One (25%) Dear Students, Good Luck! Course name and No.: Type: S M 9214 Hospitality Real Estate and Investment Practical Please solve the following problem on the shared Excel file "Assessment One Costa del Sol Hotel in Marbella Operator Projections" and kindly upload the excel file on Moodle when done. Please rename the file with your name. Problem The Manager of Costa del Sol Hotel in Marbella has asked you to prepare a budgeting forecast for the years 2023 - 2026. You have acquired the following forecasted information: General Info: ● Revenue Info on Ratios: ● The occupancy rate is expected to increase 3% per year. The average rate is expected to increase 2€ in 2023, 3€ in 2024, 5€ in 2025 and 5€ in 2026. Departmental Expenses Info on Ratios: ● Food revenue is expected to increase 1% per year. Beverage revenue is expected to remain constant in 2023, decrease 1% in 2024 and another 1% during 2025, then it will remain constant until 2026. Wi-Fi Films and other revenue will remain constant in 2023, decrease 0.6% in 2024, then it will remain constant until 2026. SPA revenue will increase 1% per year. ● Rooms department expenses will increase 1.5% per year. F and B department expenses will increase 0.5% per year Wi-Fi Films and other revenue department expenses will increase 0.2% per year. Spa department expenses will increase 0.2% per year. Undistributed Operating Expenses Info on Ratios: General and administrative expenses will decrease 0.3% per year. Sales and marketing will increase 0.4% per year. Property, operations, and maintenance will decrease 0.1% per year. Energy will increase 3% in 2023 and another 3% in 2024, then it will decrease 1% per year in the last 2 years. Required: Complete the 2023 - 2026 figures on the shared Excel file using the above information. Good Luck/nSee Answer
Q3:Continue to work with the Real Estate data set from Assignment 2. Use the Data Analysis add-in to create a table that presents the descriptive statistics for the following data: price, bedrooms, age, acreage, real estate taxes and assessed value. Demonstrate good table design as covered in the lecture notes and readings. The table should be in a separate worksheet (tab) which is labeled. Within this worksheet, please write a brief discussion which highlights important elements and demonstrates your understanding of standard deviation. Create a correlation table for the following data: price, bedrooms, age, acreage, real estate taxes and assessed value. Please format the table professionally and save the table on a separate, labeled tab/worksheet. Within this worksheet, please discuss 3 of the correlation coefficients. Please recall that to run descriptive statistics within the Data Analysis ToolPak, the data of interest must be in one continuous block. This may require moving other columns or cutting and pasting the data you are interested in analyzing into a new worksheet.See Answer
Q4:/n Instructions You will be using the Real Estate data set to build a model to predict what a house should sell for. This model will be used by a real estate agency to help their clients understand what their house should sell for so they can make an educated decision about listing price. Secondarily, the model will be used by a home contractor. S/he would like to be able to tell clients the selling value of adding an additional bathroom. Part 1 of the project involves the first three steps in the data mining process: sample, explore and modify. You will be preparing the data for model building, which will be done in Part 2 of the project next week. You will need to make decisions regarding data that is in text form, missing data, potentially incorrect data, the inclusion of potential outliers, binning strategy and variable transformation. Please make sure your decisions are justified. Note that the specific requirements and relative weights are outlined in the rubric. Compute descriptive statistics on all of the continuous variables. Briefly discuss. Compute the frequencies of ALL of the categorical variables. Briefly discuss. Run a correlation table. Discuss at least 3 correlations. The descriptive statistics, frequencies and correlation table should be professionally presented on separate, labeled tabs/worksheets. There is quite a bit of discussion in this assignment. Rather than putting the discussion in Excel, it is preferred that you prepare this assignment as a Word (or PDF) document and include the relevant Excel output as figures. You are required to submit both the Word/PDF file as well as your Excel file. Please note only the Word/PDF file will be graded. I am asking you submit the Excel file in case I have a question about your work. Again, only the the Word/PDF file will be graded so it should contain all the requirements. The Excel file will only be opened if necessary. Different people will make different decisions which may ultimately impact the model they develop. While there are wrong things you could do (like using a 0 for all missing values), there is not one "right" answer. Make sure you document and justify the decisions you make. It is fine (perhaps even ideal) to note decisions that were made because this is an academic project. For example "Given the appropriate resources, I would have ___ to get the missing values for Lacking the resources for this option, I elected to recognizing that this decision _______." I suspect there will be lots of questions this week as you start working independently with the data. Just a reminder that questions can be posted in "Ask the Instructor" Discussion Forum so that other classmates can participate and will also have the benefit of our discussion.See Answer

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