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

Q1.‏What is the difference between the types of data 1- categorical data, 2- numerical data, with an example of each type

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

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.

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

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

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?

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

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

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

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

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

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?

* Hame Gradebook Week 1 actice Asignmet-x O ttps//appmyeducator.com/counelactivity.t/1844/270721506109441/ Which of the following is A curent trend in consumer behavior Decreased customer need for accessing information prior to a purchase OIncreased consumer reluctance to share data with businesses they interact with O Availablity of premium options for devoted and loyal customers of a business The need to create a seamless user experience on an easy to-use company website Which of the folloving describes the form of data Kantar may present to marketers? Ut providesa qualitative and quantitative segmentation opproach that oncovers the functional, sociall and emotional drivers of consumer behvior within a given market. Ditves companies a major presence on social networking sites as this alows them to interact with their current and potensal consumers in new ways On stresses the subjective meaning of the consume's individual expertience and the idea that any behavior is subject to mutple…

I DON'T SEE THIS ONE: D.) Calculate the regression line. Compute the MAD and MSE for the regression line. E.) Use your results for A.)-D.) to determine which forecast is best. Explain your results.

13  true or false Descriptive statistics are too basic therefore not very useful in data analytics.

It wouldnt let me take a screenshot of the table so I had to copy and paste it in here. My question is: How do you Calculate a moving average forecast using the last 2 and 4 dates of stay. What is the prediction for 7/1/2021 for each technique? Discussion Question 1 - 200 room hotel                                   Forecasts   MA 2 Errors MA 4 Errors ES (0.8) Errors ES (0.5) Errors   Date Day of Week Rooms Sold MA 2 MA 4 ES (0.8) ES (0.5)   AE APE AE APE AE APE AE APE   6/1/2021 Tuesday 123                             6/2/2021 Wednesday 109                             6/3/2021 Thursday 140                             6/4/2021 Friday 199                             6/5/2021 Saturday 179                             6/6/2021 Sunday 140                             6/7/2021 Monday 117                             6/8/2021 Tuesday 132                             6/9/2021 Wednesday 108                             6/10/2021 Thursday 151…

There is a bias towards under forecasting, though we cannot determine from the data provided whether that is severe bias or not O There is a severe bias towards under forecasting O Bias is negligible in this case Question 22 A MAD (Mean Absolute Deviation) of 17.3 suggests which of the following? O There is an over-forecasting bias of 17.3 O The standard deviation for the forecast data is 17.3 O All forecasts fall within 17.3 of the actual data O On average, the forecasts miss by 17.3 O Without knowing the average, the MAD is useless 0 日

18. When Creamy Layer Inc. planned to introduce a new ice cream flavor, its senior executives looked at the sales history of earlier introductions to forecast the sales for the newest flavor. This is an example of an analogy approach for new product forecasting. Select one: O True O False

Question No. 1List the specific weaknesses of each of these approaches to developing a forecast:a. Consumer surveys.b. Salesforce composite.c. Committee of managers or executives. Question No. 2What kinds of capacity problems do many elementary and secondary schools periodically experience? What are some alternatives to deal with those problems? Question No. 3The XYZ company produces all type of office furniture. The “Executive Secretary” is a chair that has been designed using ergonomics to provide comfort during long office hours. The chair sells for $130. There are 480 minutes available during the day, and the average daily demand has been 50 chairs. There are eight tasks; TaskTime (min)Immediate predecessor A4- B7- C6A, B D5C E6D F7E G8E I6F, G Draw a precedence diagram of this operationWhat is the cycle time for this operation?What is the theoretical minimum number of workstations?Assign tasks to the workstationsWhat is the idle time per cycle?What is the efficiency of the…

Q1. Consider the following scenario shown below. Discuss how the researcher should proceed; that is, determine the following, giving reasons: Type of research question (exploratory, descriptive, or causal) Type of research approach The time horizon for the study Sampling technique   Scenario A specific department within an organization has a high turnover rate; this department has a shorter average tenure than other departments in the company. Skilled workers are leaving the firm. Mr. Ahmed (CEO) has no idea what is going on and wants to know more about what is happening.