If we were the database administrators for the itunes store, how might you use the predicting analysis to determine the artists and movies will sell more this year?
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If we were the database administrators for the itunes store, how might you use the predicting analysis to determine the artists and movies will sell more this year?
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- What changes would you make if you were in control of the iTunes store's database administration? Which methods of forecasting would you suggest employing predictive analytics for in order to ascertain which musical acts and films will have the biggest number of ticket sales in the next year?As the database administrator for the iTunes store, how would you use preductive analysis to predict which bands and movies will sell the most next year if you were in charge of estimating sales?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…
- What kind of prediction model will be more suitable for an enterprise that introduced a new product?What is the short-term retail sales forecast for 1 to 3 years? What is the mid-term retail sales forecast for 3-5 years? What is the long-range retail sales forecast for >5 years? In conclusion, what is the future forecast of the retail environment?How can the accuracy of a prediction model be assessed? Detailed explanation?
- 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)Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 7 10 11 9 15 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places): y=nothing+nothingx, where y=Demand and x=Period.
- The current values of sales of a product in a company are as follows: November - 22, December - 35, January - 28, February - 20, March - 33, April - 20. What is the forecast for May using a mean mobile three months? Select one: a. twenty b. 25.25 c. 24.33 d. 26.33PLEASE HELP with correct answers A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615A random sample of 10,000 customers was selected over a six month period. The data provides information on their current status with the bank as well as 12 additional attributes describing their demographic and banking information. what are the key predictors the bank should be aware of with their customers? Examples are included, but not limited to:Are female customers leaving more than males? Is there indication of customer departures associated with specific countries?Is there evidence of salary associated departures? what is an appropiate marketing strategy to attract and retain long term customers