An organization uses a business intelligence system to predict products that tend to be purchased together. This is an example of A) Regression Analysis O B) Cluster Analysis C) RFM Analysis D) Market Basket Analysis
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- QUESTION 2 The number of patients coming to the Healthy Start Maternity clinic has been increasing steadilyover the past eight months. You are provided with some historical data as follows: Month Clinic attendance (in thousands)1 3.42 3.93 4.54 5.05 5.86 5.97 6.58 6.7 a. Identify and give a brief explanation of the:-i. Dependent variableii. Independent variable b. Use simple linear regression to forecast annual demand for months 9 and 10 by using thetabular method to:-i. Derive the values for the intercept and slope. ii. Derive the linear regression equation. iii. Plot the linear regression line. iv. Develop a forecast of the clinic attendance for months 9 and 10.Question 1. The table below shows the sales figure for a brand of shoe over the last 12 months. Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 a. Using the following, forecast the sales for the months up to january the following year:- i. A simple three month moving average ii. A three period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data iii. Exponential smothing when α = .6 and the forecast for march is 350 vi. Detemine which of the three forecasting technique is the most accurate using MAD N.B. Only answer IVQuestion 1. The table below shows the sales figure for a brand of shoe over the last 12 months. Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 a. Using the following, forecast the sales for the months up to january the following year:- i. A simple three month moving average ii. A three period weighted moving average using weights of 1, 2, and 3. Assign the highest weight to the most recent data iii. Exponential smothing when α = .6 and the forecast for march is 350
- Q1) Forecasting is both art and science. Describe the situations where we use Qualitative forecasting techniques and quantitative forecasting techniquesq10- 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 choiceQuestion 1 Forecasting calculation X Month Sales (y)(000 units) 1 Feb. 19 2 Mar. 18 3 Apr. 15 4 May 20 5 Jun. 18 6 Jul. 22 7 Aug. 20 8 Sep a. Using a 5-month moving average, calculate September sales b. Calculate September sales Using a 3-month weighted moving average (weights are 0.60, 0.30. 0.10). c. Calculatate Exponential Smoothing (assume February sale is 19) sales in September (alpha 0.2, that means 1-0.2 = 0.8) d. Using regression analysis, what is Y (September sales) if X is 8? (use data> data analysis button> regression)
- QUESTION 4 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 72.4 Q2 85.3 Q3 109.6 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,506 Time 71.3 If the original value of the series in a Q1 was 2,040, then what is the seasonally adjusted value? (please round your answer to 1 decimal place)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).QUESTION 3 A department store has recorded the sales of the best selling can opener model during the last 6 months. Observed values of the can opener sales are: Period 1 2 3 4 5 6 Sales 25 22 26 33 28 30 Use Holt’s double exponential smoothing with smoothing coefficients α=0.3, β=.15, S1=24.13 and G1=1.484 to calculate F1,2, G2 and S2. F1,2 = S2 = G2 =
- QUESTION 2:The manager of YTL Computers wants to develop next year’s quarterly forecasts of salesrevenue for its brand laptops. The sales are seasonal and the company believes that thefollowing most recent eight quarters of sales should be representative of next year’ssales: Year Quarter Sales (millions of dollars) 1 1 9.2 1 2 5.4 1 3 4.3 1 4 14.1 2 1 10.3 2 2 6.4 2 3 5.4 2 4 16.0 Determine the forecast of next year’s quarterly sales revenue for this line of laptops.Show all your workings.33- Judgmental forecasts have the following strengths, except___________. a. Can include “inside” and “soft” information difficult to quantify b. Difficulty in understanding causal relationships c. Can compensate for “one-time” or unusual events d. Highly responsive to latest changes in environmentQUESTION 1 The table below shows the sales figures for a brand of shoe over the last 12 months. Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 a. Using the following, forecast the sales for the months up to January the following year:- i. A simple three month moving average. [2 marks] ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. [3 marks] iii. Exponential Smoothing when α= .6 and the forecast for March is 350. [5 marks] iv. Determine which of the three forecasting technique is the most accurate using MAD. [4 marks]