Space, Grand, and QSP Matrices Analysis Analyze the significance of these three matrices regarding their relevance for strategic planning. Include a description of the key information for each of the three matrices.
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Space, Grand, and QSP Matrices Analysis
- Analyze the significance of these three matrices regarding their relevance for strategic planning. Include a description of the key information for each of the three matrices.
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- Below is a table that shows the Freshmen Enrollment of the New Texas Elementary School during the 1a Semesters of the past ten (10) Academic Years (AY), AY 2013-2014 2014-2015 2015-2016 2016-02017 2017-2018 Freshmen Enrollees AY 200 220 235 270 315 4. For the Weighted Moving Averages model, use: a weight of 0.40 for the most recent data; a weight of 0.35 for the second most recent data; and a weight of 0.25 for the third most recent data. You are the Principal of New Texas Elementary School. You are interested to know the forecast of freshmen enrolment for the next academic year (AY2023-2024), in order to plan ahead the necessary resources: faculty, classroom, library holdings, physical facilities, student services, furniture and fixtures, etc.). These are the requirements: AT 2013-2014 1. Calculate the forecast using 5 forecasting techniques/methodologies/models namely: Naïve Model, Unweighted and Weighted Moving Averages, Exponential Smoothing, and Time-Series Regression. Follow and…RDB Company wishes to assign a real estate brokers to one of its 6 sales districts. Based on theprofile of prospective buyers and the past performance of its top 6 brokers, the company estimatesthat average property sales, in lots/month, would be as follows:City government has collected the following data on annual sales tax collections and new car registrations: Annual Sales Tax Collections (in millions) 1.0 1.4 1.9 2.0 1.8 2.1 2.3 2.5 New Car Registrations (in millions) 10 12 15 16 14 17 20 22 Determine the following: Plot these data and decide if a linear model is reasonable. Using the results of part a., find the estimated sales tax collections if new car registrations total 25,000,000.
- How do linear programming, the linear decision rule, thesearch decision rule, and the management coefficients modeldiffer in terms of cost functions and output?Give the logical sequence of steps for formulating and constructing a (structured) LP model.The table below summarizes September 20223 financial performance by two market segments. The dates highlighted in orange indicate occupancy higher than 90% Please find the correct statement about the data analysis based on the table. Market segment 1 shows pattern of peak on Weekdays. Market segment 2 shows a pattern of peak on Weekends. Based on the demand pattern, Market Segment 2 could be leisure travelers. Most guests in the market segment 2 are less price sensitive than those in the market segment 1.
- Long-Life Insurance has developed a linear model that it uses to determine the amount of term life insurance a family of four should have, based on the current age of the head of the household. The equation is:y = 850 − .1xwherey = Insurance needed ($000)x = Current age of head of household a. Plot the relationship on a graph. b. Use the equation to determine the amount of term life insurance to recommend for a family of four if the head of the household is 30 years old.Write the three-point estimates for the six key input variables?A manager uses this equation to predict demand for landscaping services: Ft= 10 + 5t Over the past eight periods, demand has been as follows: Period, t: 1 Demand: 15 2 21 Period, t Tracking signal 1 2 3 4 5 6 7 8 3 23 30 5 32 6 38 42 Click here for the Excel Data File Compute the tracking signals for Periods 1-8. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.) 8 47
- The manager wants to forecast the month 6's sales using the following historical data: Months Month 1 Month 2 Month 3 Month 4 Month 5 Sales 20 25 32 35 38 Please use the weight 0.45 for Month 5, weight 0.25 for Month 4, weight 0.2 for Month 3, and weight 0.1 for Month 2 to use the weighted moving average to forecast the demand of Month 5.The chairperson of the department of management at Tech wants to forecast the number of students who will enroll in operations management next semester in order to determine how many sections to schedule. The chair has accumulated the following enrollment data for the past 15 semesters: Using Exponential Smoothing with (α = 0.6) compute the forecasted number of student for semester 16 Semester Students Enrolled in OM 1 270 2 310 3 250 4 290 5 370 6 410 7 410 8 450 9 440 10 470 11 525 12 515 13 538 14 544 15 504How do non-linear system models differ from linear models, and what are the challenges associated with analyzing and controlling them?