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Concept the time series graph and give conclusions on it. Design these data as a time series using t = 1 to 72 for time. Explain what conclusions can I derive from this graph
Estimate the regression model and predict it. The subsequent table shows the annual maintenance costs for several cars as well as their age.
Explain find the seasonal index and trend line and forecast it. Quarterly billing for water usage is shown below-
which kind error is more likely to take place? What can be done to decrease the likelihood of incurring this error?
Compute the forecast error for the given problem. In order to estimate the attendance at an annual tennis tournament a model has been developed which uses attendance from the previous year as well a
Employ the World Bank's definitions for low income countries, lower middle income countries, upper middle income countries, and high income countries, choose a country in each and every category.
Prediction the number of deliveries using Exponential smoothing constant for different values and compare it.
Starting with the hypothetical population of 14,000 people and the even age distribution (1,000 in each age group from 1-5 to 66-70 years),
Does the data seem the strength of the relationship between variables is sufficient to warrant using linear regression forecasting?
Does the data seem the strength of the relationship among variables is sufficient to warrant using linear regression forecasting?
Calculate the exponential and adjusted exponential smoothing forecast and linear trend forecasting. Compare it by MAD and E.
Explain linear programming problems with redundant constraints. Consider the subsequent linear programming problem:
Calculate a 3-month and weighted moving average as well as also compare the forecast using MAD.
Describe optimal solution to a linear programming problem. Consider the subsequent constraints from a two -variable linear program.
Explain LPP using the graphical method. Solve the subsequent linear programming problem using the corner point method.
Compute the Optimum solution using the given data. Consider the subsequent linear programming problem:
Describe Solution through graphical method. Two model of a product - Regular (X) as well as Deluxe (Y) - are produced by a company linear programming model is used to determine the production schedu
Explain solution using graphical method. Consider the subsequent linear programming problem:
Explain linear programming problem (LPP). Consider the subsequent linear programming problem:
How to select the non-optimal solution. Consider the subsequent constraints from a linear programming problem.
Write a report for the following as well as explain Network flow problems and why the LP model is appropriate tool.
Write a report on the subsequent and explain what it means when a LP is used to optimize an outcome and its two properties.
Construct a schedule utilizing two processors and applying the critical path scheduling algorithm. Smear the critical-path scheduling algorithm to construct a schedule using two processors for the ord
Solve the travelling salesman unruly using the brute force algorithm.
Develop as well as complete the total cost for each plan. Compute the plan which has the lowest total cost.