MALIK_BUSI820_Assignment6

Q2 (a) Understanding the inherent strengths and weaknesses of each forecasting method is important for technology managers to ensure technological development and innovation can be conducted successfully. Compare the strengths and weaknesses of TWO (2) technology forecasting methods.

Summarize various visual data analysis techniques which can be helpful for prediction of market survey of amazon products.

Scatter plot Which are correct? A) positive / negative/ cluster/ not applicable B) linear / none linear C) strong correlation / weak correlation

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

q1(a)Imagine that you need to introduce a new gadget such as the Apple Watch. Determine which forecasting method is appropriate for projecting the future demand of such this gadget. b)ARIMA is mostly used to forecast future values using historical time series data, as we all know. Its primary use is in short-term forecasting with at least 38-40 historical data points and a small number of outliers. If we don't have at least 38 data points, we should consider using another strategy.

Question content area Part 1 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 2 510 3 516 4 555 5 575 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). Part 3 ​b) The MAD for a linear regression forecast is   enter your response here sales ​(round your response to one decimal​ place). Part 4 ​c) The MSE for the linear regression forecast is   enter your response here sales ​(round your response to one decimal​ place).

Help please

1-What is the difference between qualitative forecasting techniques and quantitative forecasting techniques?

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 choice

K 2. Setting an advertising budget is a forecasting exercise. What are the fundamental principles that should be adhered to when undertaking forecasting?   Be conservative and use the best evidence-based technique available Be innovative and use multiple methods and choose the optimal one Be conservative and use multiple evidence-based techniques, taking the average result Be innovative and use multiple evidence-based techniques, taking the average result

The following data were collected during a study of consumer buying patterns:Observation       x     y   Observation     x    y        1                19  72           8            20  77        2                21  81           9            17  73         3                43  79          10           13  77        4                28  81          11           20  85        5                56  98          12           28  93        6                49  96          13           34  94        7                32  82          14a. Obtain a linear regression line for the data.b. What percentage of the variation is explained by the regression line?c. Use the equation determined in part b to predict the expected value of y for x = 49.

Regression analysis. The owner of a small hardware store has noted a sales pattern for window locks  that seems to parallel the number of break-ins reported each week in the newspaper. The data are: Sales: 46 18 20 22 27 34 14 37 30Break-ins: 9 3 3 5 4 7 2 6 4a. Plot the data to determine which type of equation, linear or nonlinear, is appropriate.b. Obtain a regression equation for the data.c. Estimate average sales when the number of break-ins is five.

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pls answer fast

V. Let's Explore / Let's Create 1. Discuss the other types of forecasting methods that financial analysts use to predict future revenues. 2. Are there any several other factors that may need to be considered that affects the sales forecast? RUBRIC Criteria Poor (3 Points) Fair (7 Points) Fair Good (10 Points) Good Deer

How can startbucks company use multiple regression? Please provide an example and identify dependent and independent variables.

Q1: Income at the architectural firm Spraggins and Yunes for the period February to July was as follows: Month February March April May June July 72.8 Income (in $ 70.0 thousand) 68.5 64.5 71.7 71.3 Use trend-adjusted exponential smoothing to forecast the firm's August income. Assume that the initial forecast average for February is $65,000 and the initial trend adjustment is 0. The smoothing constants selected are a = .1 and B =.2.

part b

Pls help me it mathematics for economics Problem 1: Sheet 1 a) Find on the Internet a time series, which contains at least 20 entries. Provide a short description of this time series. Also provide a link to that data set. b) Perform 2 different suitable forecast methods for the next time period. c) Compare 2 forecast methods using mean square error (MSE).

What is the difference between VaR method and business forecasting? Answer briefly and concisely.

Differentiate macro and micro forecasting.