part 2

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

1- Explain the facts regarding the data, including number of variables and datapoints.   #of variables       # of observations     2- Complete the table as follows, List the variables features including, names, variable, level, etc.    Variable Variable Type Variable Level     Age Numeric Ratio     Gender Categorical        Sales_Rep         Business         Years         College         Personality         Certificates         Feedback         Salary         NPS       Part 3 is shown on the photo

1- Explain the facts regarding the data, including number of variables and datapoints.   #of variables       # of observations     2- Complete the table as follows, List the variables features including, names, variable, level, etc.    Variable Variable Type Variable Level     Age Numeric Ratio     Gender Categorical        Sales_Rep         Business         Years         College         Personality         Certificates         Feedback         Salary         NPS

11.2

III. What is the expected value of sample information IV. What is the efficiency of the survey information

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Divvy Bikes 2021 summer ridership has increased 30% from the ridership levels in 2020.  Divvy's management attributes this to 2020 having fewer work places and recreation venues were open than in 2021.   This is an example of which type of data analytics?   Question 6 options:   a)  Descriptive   b)  Diagnostic   c)  Predictive   d)  Prescriptive

Only question 1

Which test is best to test the hypothesis that multiple variances (2 or more) are equal?   Group of answer choices 1. t test 2. proportions test 3. Mood's median test 4. Levene's test 5. Analysis of Variance (ANOVA)

Month Actual Sales Naive Forecast- Absolute Value of (# of Product X) Sales Errors (# of Product X) Jan/19 Feb/19 Mar/19 Apr/19 May/19 Jun/19 Jul/19 Aug/19 Sep/19 Oct/19 Nov/19 Dec/19 Jan/20 1,860 2,033 3,556 4,211 6,250 7,990 10,250 9,850 9,980 9,990 7,895 5,353 - Explain the calculation method for the Naive Forecast model. the faln

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.

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

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

Q5) 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

Trail Questions National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales ('000 units) Feb. 19 Mar. 18 Apr 15 May 20 Jun. 18 Jul. 22 Aug. 20 Forecast September sales volume using each of the following: (1) A linear trend equation. (2) A five-month moving average (3) Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 19('000) (4) A weighted average using 0.60 for the most recent month, 0.30 for the next most recent, and 0.10 for the next.

1. Give a specific example and scenario in Hospitality Industry that we can apply the Data Analysis Cycle. Identify the Problem Identify Available Data Sources Identify if Additional Data Sources are needed Statistical Analysis Implementation and Development Communicate Results Maintenance

06 A B xfx 64000 C D E F G Roll up the individual product forecasts and compare them with the family data. Use the family forecasts to revise the individual forecasts (both dollars & units). PART A Product Family Forecast Family $ Rolled-Up $ Rolled-Down $ Family Forecast Forecast Sales Goal 1 50,000 46.000 60,000 2 50,000 64.000 50,000 3 75,000 65,000 90,000 Total 175,000 175,000 200,000 , Use the FAMILY forecast to revise the individual item forecasts (in both dollars & units) 1 2 ROLL UP Unit 3 Product Forecast Dollars/Unit Dollar Forecast (goal) ROLL DOWN Dollar Forecast Unit Forecast (goal) A 10 $ 1,000.00 $ 10,000.00 5 B 15 $ 1,200.00 $ 18,000.00 6 C 20 $ 900.00 $ 18,000.00 17 TOTAL $ 46,000.00 18 5 $ 5,000.00 $ 25,000.00 19 E 3 $ 7,000.00 $ 21,000.00 20 F 2 $ 9,000.00 $ 18,000.00 xxXX XXXX 21 TOTAL $ 64,000.00 22 G 100 $ 250.00 $ 25,000.00 xxxxxXXXXXXXXXXXXXXXX 23 H 24 I 180 $ 220 $ 100.00 $ 18,000.00 xx 100.00 $ 22,000.00 25 TOTAL XXXXXXXXXXXX XXXXXXXXXXXX XXXX XXXXXXXXXXXX $…

NING SYSTEM (ACADEMIC) Series forecasting for Business || The F-test used in testing the significance of a regression model is O a. Upper tailed test O b. Two tailed test O c. Lower tailed test O d. None OUS PAGE

Q1. Brooke is a 32-year-old, single investment banker who lives in an apartment in a large city. After a particularly long and difficult workday, she relaxed in her apartment by reading through one business magazine and two fashion magazines. When questioned by a researcher the next day, she could clearly recall two holiday ads and vaguely remembered one ad for a personal computer from among the nearly 80 ads she had seen in the three magazines. However, she could recount in detail the articles that she had read and even recalled the titles of articles she had not read. How can you explain this?

Please do not give solution in image format thanku

Do it accurate clean handwriting dont use chat gpt etc solve accurate

Here are the errors associated with a particular forecast over the past five months, in chronological order: 2, 5, 0, -5, -10. Which of the following statements is (are) true? I. The forecast was too high during the fifth month. II. The mean error over these five months is -2. III. The forecast was perfectly accurate during one of the months. a. I only Ob. Il only O. Il only d. I and III Oe.I, Il and II

Part B?

Q1) Forecasting is both art and science. Describe the situations where we use Qualitative forecasting techniques and quantitative forecasting techniques

A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58

A P A Aa A A 2。田、刻 T Paragraph Styles Font Voice Editor Exponential Smoothing Example 9 ? During the past 8 quarters, the Port of Baltimore has unloaded large quantities of grain. (a = .10). The first quarter forecast was 175. Quarter 4-5 Actual 1 180 168 Find the 3 159 forecast for the 9th quarter. 4 175 5. 190 205 180 182 Using a Trend Line 4-6 The demand for electrical power at N.Y.Edison over the years 1997 – 2003 is Year Demand 1997 60 1998 65 1999 89 2000 92 given at the left. Fin 2001 100 d the overall 2002 122 trend. 2003 110 What is the demand for 2010 and 2011 2 words Accessibility. Unavailable D'Fosus

Please explain the calculation to get get the answers in the column provided?!

a. A cell phone Company XYZ conducted an online survey that showed that 75 percent of customers put their number-one requirement for a new phone to be increased battery life. Only 22 percent of customers listed color choices as a large concern. Company XYZ currently offers 6 different color choices for its product and has a below-average battery life compared to competition. What should Company XYZ do with these survey results? b. Company ABC recently conducted a survey that showed that 30 percent of customers will only shop there once and never use the company’s products again. What are some general ideas that can help increase customer loyalty? c. Company #alltheshoes would like to find out what, if anything, customers know about its new running shoe, FancyShoe. Design two survey questions to find out the following: 1) Are customers aware of the product? 2) What brand image do customers have of theproduct?

Q1. Does Livestock Wealth use "inside-out" or "outside-in"?