QUESTION 8A stock analyst wants to determine whether there is a difference in the mean rate of return for 5 types of stock. The analyst selecteda sample of 132 and conducted an ANOVA test that shown as follows.VariationSSdfFMS7Between2377(Treatment)77?Within (Error)Total1027The between (Treatment) mean square is equal to?(Round answer to three decimal places ex. 2.091)

Solution: Given information: k= 5 groups n= 132 total observation Sum of square of between…

Answered: A stock analyst wants to determine…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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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
Equine Science Interpreting Scatterplots and Regression Equations 180+ 170- 160 150+ 140 130 120- 110 200 300 400 500 600 700 800 Age in Days An Equine Scientist was interested in horse height (measured to the horse wither in cm) as a young horse aged from 200 to 800 days. She collected the data in the graph above from records on horses she had worked with in the past (shown by the blue dots) and fit a linear regression equation (shown by the red line). According the regression equation, as the age of the horse increases in days. the wither height in cm Select an answer v The age of the horse in days and the wither height in cm are Select an answer The slope of the regression equation is approximately 0.044. interpret the slope by completing the sentence below. As the Select an answer v increases by 1, the Select an answer V increases by The regression equation approximates the wither height by the following formula. Let d = age in days Let W = wither height in cm W = 0.044 -d +…
Question 4 The below data represent the advertising expenditure and sales of Little Liu Ltd from year 2008 to 2017. Table: Advertising Expenditure vs. Sales from 2008 to 2017 Year Advert. Expenditure Sales (x, £000) (y, £000) 2008 8 30 2009 12 40 2010 11 29 2011 5 29 2012 14 43 2013 3 17 2014 6 20 2015 8 30 2016 4 22 2017 9 40 Total 80 300 Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship).
2:56 +973 3686 6592 06/01/2022, 2:44 PM QUESTION 14 The holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on advertising (x). A random sample of 38 recordings gives the following information The intercept = 18.47 and the slope0 98 The estimated sales for 18 amount of advertisement is equal to? (Round answer to three decimal places ex. 2.091)
Question 2 Secondary data refers to information that the researcher gathers firsthand through instruments such as surveys, interviews, focus groups, or observation. True False
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.
q. 14 Given the same data, calculate the CFE for when using a MA for this data. Tip: You will need to calculate the MA forecast for as many periods as possible before calculating the CFE. Group of answer choices a. 0 b. -1 c. 1 d. 2 e. -2
Question 2 Mr. Ferdinand is a well known entrepreneur who sells fresh organic beef to persons in the local community. Customers love the quality of meet that Mr. Ferdinand sells so they tend to recommend his product to other persons. Recently, Mr. Ferdinand has been rumning out of beef to sell to his customers. One customer suggests to him that he must use past sales records to forecast demand for his beef so that he can meet his customers demand. Using a numerical example, demonstrate to Mr. Ferdinand how he can use a three- week and a four-week weighted moving average to forecast demand for his beef. I. II. Show how Mr. Ferdinand can test the accuracy of his forecast. III. Explain to Mr. Ferdinand two ways in which he can benefit from doing forecast for his beef. 日正
QUESTION 12 A company has experienced the following quarterly sales for the past eight quarters Demand Quarter (year Quarter (year 1) 2) 1 2 3 5 Deman d 10 12 22 6 26 26 7 30 4 19 8 22 Considering the following values for the intercept, slope, seasonal factors, and smoothing constants Go= 2.3362, So=-29.36, c.3= 0.5330, c.2-1.1752, c.1 1.2825, co=0.9203 a=0.2, y=0.1, B=0.1 Forecast four period ahead demand at time t=0. (t=0=present, period 8).
QUESTION 30 The following tabulations are actual sales and forecasts for 6 months. What is ME (Mean Error) at the end of June? (carry to 2 decimal places) Month January February March April May June Demand 408 395 405 420 430 388 Forecast 400.00 403.20 399.92 401.95 409.17 417.50
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.

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