Which one below is built upon the factor analysis framework? Group of answer choices Spearman-Brown formula Omega coefficient coefficient alpha coefficient Raju beta coefficient
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Question 30
Which one below is built upon the factor analysis framework?
Group of answer choices
- Spearman-Brown formula
- Omega coefficient
- coefficient alpha coefficient
- Raju beta coefficient
Step by step
Solved in 2 steps
- Under what conditions might a firm use multiple forecasting methods?Define linear decision rule?Question 3 An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of. O A) Regression Analysis B) Cluster Analysis C) REM Analysis D) Market Basket Analysis
- q10- What is the best description of Granger-causality? Select one: a. the ability of lags of one variable to contribute to the forecast of another variable b. the ability of a variable to predict its own future c. the ability of the one variable to explain it own past d. None of the above Clear my choiceWhai is Time-series forecasts?Explain 4 methods of judgmental technique in forecasting with an examples
- A) What is forecasting? B) describe types of forecasting C) Decribe the relationship of forecasting types with product life cycle (PLC)List the specific weaknesses of each of these approaches to developing a forecast:Consumer surveysSalesforce opinionsCommittee of managers or executivesQ5) Monthly sales for a six month period are as follows: Month SalesJan 18,000Feb 22,000Mar 16,000Apr 18,000May 20,000June 24,000 Compute the sales forecast for July using the following approaches: (1) Four-month moving average; (2) Weighted three-month moving average using .50 for June, .30 for May and .20 for April;(3) Exponential smoothing with α (smoothing constant) equal to .40, assuming a February forecast of 18,000
- Illustrate one example/scenario when judgmental forecast is utilized.Font Paragraph Styles Question 3 Consider the following from an estate agent's business nationally: Month Houses Sold Jan Feb Mar 380 360 390 Apr May June July Aug Sep Oct 400 390 380 394 454 460 460 Nov Dec 430 370 a) Calculate the three point moving averages (quarters) and seasonal variation for the above data b) Define moving averages and how they're useful in forecasting (use Harvard referencing) c) At races, your horse, White Rum, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of 4 in coming 3rd. First place pays $5,000 to the winner, second place $4,000 and third place $1,350. Hence, is it worth entering the race if it costs $1050?What are two uses for forecasts?