Need help solving D. Pageof 2Actual Sales2-Month MovingAbsolute ValueМonthAverage Forecast - Sales(# of Product X)of Errors(# of Product X)Jan/19Feb/19Mar/191,8602,033Apr/19May/19Jun/193,5564,2116,2507,99010,250Jul/19Aug/19Sep/19Oct/199,8509,9809,9907,895Nov/19Dec/19Jan/205,353- Calculate the 2-month Moving Average Forecast for sales from March/2019 to/2019 and enter them in the table above.-Calculate the Absolute Value of Error for every forecasted month, from March/2019 toa)b)bnsber/2020. Enter those values on the table above.- Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and theMeanosolute Percent Error (MAPE) for the 2-month Moving Average Forecast you created forProduct X from March/2019 to December/2020.- Create a table that shows the MAD, MSE and MAPE values you obtained for the NalveForecast and for the 2-month Moving Average Forecast. Which method would you recommendd)and why?IMPORTANT NOTE:In order to maximize your grade, demonstrate all your calculations, show all your work and upload a filein PDF format.MacBook Air

Given Information: Consider the table that shows the Actual sales of product X from the month of…

Answered: Page < 2 of 2 Month Actual Sales…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The manager of human resource department wants to see if there is anyrelationship between staffs’ salary (in 1000TK) and their experience (in years).---------------------------+| id salary experience ||--------------------------|| 1 15 15.5 || 2 18 17 || 3 16.5 17 || 4 16.3 18 || 5 22 19 ||--------------------------|| 6 19.9 18 || 7 24 20 || 8 18.5 18.5 || 9 28.3 22 || 10 17.5 19.5 ||--------------------------|| 11 24.5 19.5 || 12 16.2 17.5 |---------------------------------(a) Write down the regression model of salary on experience indicating dependentvariable, independent variables and the associated parameters.(b) Obtain the least squares estimates of the model parameters and interpret them.(c) Draw a scatter plot and the regression line in the same coordinate.(d) Obtain TSS, RSS and ESS.(e) Obtain R-square value and interpret the result.(f) Obtain the estimate of the error variance.(g) Obtain 95% confidence interval for slope and interpret it.(h) Test the hypothesis that there is…
To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 The correct interpretation of the meaning of each of the coefficients in the linear model is: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model.…
To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 Examine the attached printout and answer the following questions. The correct interpretation of the meaning of each of the coefficients in the linear model is: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one…
To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model. b. When AGI is zero, the RAID is $4680 in this linear model. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model. c. When…
To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 Examine the attached printout and answer the following questions. The correct interpretation of the meaning of each of the coefficients in the linear model is:
Suppose that you would like to create composite indexes from three stocks: stk1, stk2, stk3. Their stock prices (Pt) and total shares outstanding (Qt) from day 0 to day 1 are shown as follows: stk3 splits two-for-one in day 1. P0 Q0 P1 Q1 stk1 40 250 50 250 stk2 50 100 50 100 stk3 60 150 50 300 Which answer is the closest value to the rate of return on a price-weighted index of the three stocks? A. 20% B. 25% C. 30% D. 35%
To the Internal Revenue Service, the reasonableness of total itemized deductions depends on the taxpayer's adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on adjusted gross income and the average or reasonable amount of itemized deductions follow. Adjusted Gross Income($1,000s) Itemized Deductions($1,000s) 22 9.6 27 9.6 32 10.1 48 11.1 65 11.5 85 19.7 120 23.5 (a) Develop a scatter diagram for these data with adjusted gross income as the independent variable. A scatter diagram has 7 points plotted on it. The horizontal axis ranges from 0 to 140 and is labeled: Adjusted Gross Income ($1,000s). The vertical axis ranges from 0 to 30 and is labeled: Itemized Deductions ($1,000s). The points are…
To the Internal Revenue Service, the reasonableness of total itemized deductions depends on the taxpayer's adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on adjusted gross income and the average or reasonable amount of itemized deductions follow. Adjusted Gross Income($1,000s) Itemized Deductions($1,000s) 22 9.6 27 9.6 32 10.1 48 11.1 65 13.5 85 19.7 120 27.5 (a) Develop a scatter diagram for these data with adjusted gross income as the independent variable. (b) Use the least squares method to develop the estimated regression equation that can be used to predict itemized deductions (in $1,000s) given the adjusted gross income (in $1,000s). (Round your numerical values to three decimal…
An explosion at a construction site could haveoccurred as the result of static electricity, malfunctioningof equipment, carelessness, or sabotage. Interviews withconstruction engineers analyzing the risks involved ledto the estimates that such an explosion would occur withprobability 0.25 as a result of static electricity, 0.20 as aresult of malfunctioning of equipment, 0.40 as a result ofcarelessness, and 0.75 as a result of sabotage. It is alsofelt that the prior probabilities of the four causes of theexplosion are 0.20, 0.40, 0.25, and 0.15. Based on all thisinformation, what is(a) the most likely cause of the explosion;(b) the least likely cause of the explosion?
Due to the Coronavirus Pandemic, major apparel industries like Nike took historical losses in 2020. Entering 2021, Nike has closely been monitoring sales of long-standing shoe re-releases, whose current sales determine if Nike will continue to produce them. Nike’s new re-release of the Air Max 97 SE and Nike Air Force 1s has helped their sales jump significantly early in 2021. Nike wants to calculate both sales numbers for the year, and compare them to last year’s performance during the same fiscal quarters. Over the past 14 weeks, Nike recorded an average of 5.7 million sales this fiscal quarter with a standard deviation in sales of .65 million for Air Max 97 SE. Nike’s Air Force 1s recorded an average of 6.2 million sales with a standard deviation of 1.3 million in sales. With an alpha level of .05, construct a hypothesis test to see if there is a difference in sales during the fiscal period.
An insurance company offers four different deductible levels—none, low, medium, and high—for its homeowner’s policyholders and three different levels—low, medium, and high—for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, theproportion of individuals with both low homeowner’s deductible and low auto deductible is .06 (6% of all such individuals).Suppose an individual having both types of policies is randomly selected.a. What is the probability that the individual has a medium auto deductible and a high homeowner’s deductible?b. What is the probability that the individual has a low auto deductible? A low homeowner’s deductible?c. What is the probability that the individual is in the same category for both auto and homeowner’s deductibles?d. Based on your answer in part (c), what is the probability that the two categories are different?e. What is the probability that the…
A psychologist at the Hospital was asked to determine whether there was any clear difference in the length of stay (in days) of patients with different categories of diagnosis. The hospital was looking for ways to reduce costs and free up some more beds so that they could treat more patients from the community. They chose three diagnostic categories that they thought were possibly staying the longest and selected the 4 more recent admissions from each of these diagnostic categories: affective disorders, cognitive disorders, and drug-related disorders. The results are presented in Table 3 below. Using an alpha = .05 and showing all the steps of hypothesis testing, is there a significant difference in length of stay among diagnosistic categories?

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