Lesson10AClassActivity

An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters. (Hint: Provides your answers in two decimal points)Table 1 Quarter % change in income % Change in appliance sold Quarter % change in income % Change in appliance sold 1 -2.3 -2.5 6 -1.0 1.0 2 -1.5 -1.0 7 0.7 1.4 3 2.8 7.4 8 5.2 3.4 4 0.5 2.6 9 -2.5 -0.5 5 4.6 8.5 10 1.7 1.8 (a) Identify which is the dependent variable and independent variable in this case.  (b) Develop the forecasting model from this data.  (c) Identify the nature of the relationship between two variables based on the data that you have here.

An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters. (Hint: Provides your answers in two decimal points)Table 1 Quarter % change in income % Change in appliance sold Quarter % change in income % Change in appliance sold 1 -2.3 -2.5 6 -1.0 1.0 2 -1.5 -1.0 7 0.7 1.4 3 2.8 7.4 8 5.2 3.4 4 0.5 2.6 9 -2.5 -0.5 5 4.6 8.5 10 1.7 1.8 (a) What forecasting model should be used for this data. Why? (b) Develop the forecasting model that you have proposed in (a)

Sales of​ Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years​ (see table​ below).                                                      Year Sales 1 455 2 510 3 518 4 570 5 590 ​a) Forecasted sales for year 6 using the trend projection​ (linear regression) method are 627.6627.6 sales ​(round your response to one decimal​ place). ​b) The MAD for a linear regression forecast is nothing sales ​(round your response to one decimal​ place).

A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR1  = 0.9, SR2 = 0.95, SR3 = 1.05, and SR4 = 1.1. The trend equation is: Ft = 6 + 4t. Over the past nine quarters, demand has been as follows:  Period, t: 1 2 3 4 5 6 7 8 9 Demand: 11 15 17 22 28 32 36 39 43    Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round your intermediate calculations and final answers to 3 decimal places.)  Period, t Demand MAD Tracking signal 1 11     2 15     3 17     4 22     5 28     6 32     7 36     8 39     9 43

Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.)     b. To be reasonably confident of meeting demand, Nina decides to use 2 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round your answer to the nearest whole number.)

Sales of​ Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years​ (see table​ below).                                                      Year Sales 1 455 2 510 3 518 4 570 5 590 ​a) Forecasted sales for year 6 using the trend projection​ (linear regression) method are nothing sales ​(round your response to one decimal​ place)

Sales of​ Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years​ (see table​ below).                                                      Year Sales 1 450 2 502 3 520 4 570 5 575 ​a) Forecasted sales for year 6 using the trend projection​ (linear regression) method aresales ​(round your response to one decimal​ place).   ​b) The MAD for a linear regression forecast is nothing sales ​(round your response to one decimal​ place).

Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years​ (see table​ below).                                                      Year Sales 1 460 2 502 3 518 4 575 5 580 Part 2 ​a) Forecasted sales for year 6 using the trend projection​ (linear regression) method are enter your response here sales ​(round your response to one decimal​ place).

When a new business is started, or a patent idea needs funding, venture capitalists or investment bankers will want to see a business plan that includes forecast information related to profit and loss statements. What type of forecasting information do you think would the investors be looking for? Why?

Given the demand data, answer the following questions below.   Year Sales 1 - 123 2 - 118 3 - 109 4 - 112 5 -100 6 -110 7 -124 8 - ? What will be the forecast demand in Year 8 using Naïve method?a.) 120b.) 110c.) 115d.) 124

You are getting into a business and want to take a loan. The  bank requires that you show them your  projected profits. Develop calculate a forecast for the next five years starting 2024 the following data:    First order is for 100,000 units at a selling price of 6kshs per unit. Both numbers are projected to increase by 20% yearly    Renting the production facility at 500,000kshs a year for five years     Variable manufacturing cost of 1.50kshs per unit with a projected increase of 10% yearly    Administration cost of 25,000kshs per year with a likely increase of 5%annually    Tax rate is at 36%a)    Develop a five year financial forecast  showing profits before and after tax.  b)    Determine If the Loan should be given based on the forecast

Sales over the past 10 years are shown below. Using the method of least squares, calculate the values of a and b to complete this regression equation.   Year Sales 1 1,640 2 1,850 3 1,240 4 1,250 5 1,980 6 1,400 7 1,060 8 1,430 9 1,050 10 1,990   (Indicate a negative answer using a "-" sign. Do not round intermediate calculations and round your answer to 3 decimal places.)       What is your forecast for next year's sales? (Do not round intermediate calculations and round your answer to 2 decimal places.)

Demand forecasting is the art and science of predicting future market demand.Select one:a. Trueb. False

An electronic appliance manufacturer wants to know if there is a relationship between percentage change in deposable personal income which is reported quarterly by the government, and the percentage change in appliances sold by the manufacturer following same years of quarterly data. Brenda Chee and Clarence Paulus lead an analyst team has obtained data for the past 10 quarters. Table 3   Quarter Percent change in income Percent Change in appliance sold Quarter Percent change in income Percent Change in appliance sold 1 -2.3 -2.5 6 -1.0 1.0 2 -1.5 -1.0 7 0.7 1.4 3 2.8 7.4 8 5.2 3.4 4 0.5 2.6 9 -2.5 -0.5 5 4.6 8.5 10 1.7 1.8 1) What forecasting model should be used for this data.Why? 2) Develop the forecasting model that you have proposed in(a). 3) Compute the relationship for these data. In your opinion, is the relationship between independent variable strong enough to base a predictive the…

Zeus Computer Chips, Incorporated used to have major contracts to produce the Centrino-type chips. The market has been declining during the past three years because of the quad-core chips, which it cannot produce, so Zeus has the unpleasant task of forecasting next year. The task is unpleasant because the firm has not been able to find replacement chips for its product lines. Here is demand over the past 12 quarters: QUARTER TWOYEARS AGO DEMAND QUARTER LASTYEAR DEMAND QUARTER THISYEAR DEMAND 1 4,800 1 3,500 1 3,200 2 3,500 2 2,700 2 2,100 3 4,300 3 3,500 3 2,700 4 3,000 4 2,400 4 1,700 Use the regression and seasonal indexes to forecast demand for the next four quarters. Note: Do not round intermediate calculations. Round your answers to 2 decimal places. Period                              Forecast 1 2 3 4

Which of the following scenarios is the most credible forecast over the next decade. (Choose ONLY 1 Scenario). Why?   Globalization of Business is Inevitable IB Growth that is Less Global Globalization and IB will Slow

Amazon finds that sales in July are much greater relative to other months because of the Amazon Prime days in that month. Assuming that an exponential smoothing model is used for forecasting sales, what should the company best do to make the forecast for the next month (Aug) more reflective of reality? Please pick from the provided options.    F t+1 = αDt + (1-α) Ft     increase value of alpha     decrease value of alpha     stay with the same alpha     decrease the expected forecast for the current month (Ft)     On hearing our forecast, our clients probe - how sure are we about the forecast?  Which measure of errror (among those stated below) should we best use to respond?     a. Root MSE (RMSE)     b. Mean absolute percentage error (MAPE)     c. Mean forecast error (Avg. error)     d. Cumulative forecast error (CFE)