A pharmacist has been monitoring sales of a certain over-the-counter pain reliever. Daily sales during the last15 days were:Day1Number sold:Day:3710Number sold:512476404311125350332513575446483567495046468995514156050Assume the data refer to demand rather than sales. Using trend-adjusted exponential smoothing with aninitial forecast of 44 for Day 8, an initial trend estimate of 2, and a = ẞ = .3, develop demand forecasts forDays 9 through 16. Then compute the resultant MSE using the error values from Days 8 through 15. (Roundyour intermediate period-by-period forecast and error values to 3 decimal places. Round your finalMSE answer to 3 decimal places.)

A series which is a collection of observation of pre defined data item obtained through repeated…

Answered: A pharmacist has been monitoring 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 table lists the cost in millions of dollars for a 30-second commercial for selected years. Year 1994 1998 2004 2008 2011 Cost 33.7 34.2 35.0 35.5 35.9 a. Find a linear function f that models the data. b. Estimate the cost in 2010 and compare the estimate to the actual value of $36.6 million. Did your estimate involve interpolation or extrapolation? a. Use linear regression to determine the equation of the line that best fits the data. The linear function is f(x) = (Type an expression using x as the variable. Use integers or decimals for any numbers in the expression. Round to three decimal places as needed.)
The below data represent the advertising expenditure and sales of Liu Liu Ltd from year 2010 to 2019. Table: Advertising Expenditure vs. Sales from 2010 to 2019 Year Advert. Expenditure Sales Growth rate of Ad. Expenditure Growth rate of Sales (x, £000) (y, £000) 2010 19 84 2011 22 108 18% 29% 2012 32 82 46% -24% 2013 42 86 32% 6% 2014 47 84 11% -3% 2015 46 94 -2% 11% 2016 58 103 27% 10% 2017 63 115 8% 12% 2018 70 106 11% -8% 2019 80 142 15% 34% Total 479 1004 a. What is the statistical relationship shown in the table and list out 3 characteristics of this relationship?
Suppose your firm generated $50.0million$⁢50.0⁢million in sales. What would be the 95%95% prediction interval for your firm's net income? Write your answer using interval notation. Round your answer to 1 decimal place.
Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 2020 Sales $2,570,000 $3,750,000 $4,380,000 $5,010,000 $5,520,000 What would be the forecast for next year’s sales using regression to estimate a trend?
The following time series shows the sales of supermarket chain over the last six months. Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360 Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.
This is an MCQ kindly answer with proper explanation
The following are historical demand data: ACTUAL YEAR 2011 SEASON DEMAND Spring 201 Summer 142 Fall 380 Winter 578 2012 Spring 469 Summer 273 Fall Winter 683 963 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013
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 Figure: Scatter Diagram of Advertising Expenditure and Sales with Trend line ( See picture) What is the statistical relationship shown in the Figure and list out 3 characteristics of this relationship? 2. Work out the values of parameters of the relationship shown in the Figure (i.e. work out the equation of the relationship). 3.Explain the relationship and make recommendations to Little Liu Ltd based on the information given.
Use regression analysis on deseasonalized demand to forecast demand in summer 2013. Forecast for summer 2023 ______
It has been estimated that only about 30% of California residents have adequate earthquake supplies. Suppose you randomly survey 14 California residents. We are interested in the number who have adequate earthquake supplies. what is the probability that at least 6 have adequate earthquake supplies? (round your answer to 4 decimal places.) how many residents do you expect will have adequate earthquake supplies? (round your answer to the nearest whole number.) it is more likely that none of that all of the residents surveyed will have adequate earthquake supplies..... the probability that none of the residents have adequate earthquake supplies is _______ while the probability that all of the residents have adequate earthquake supplies is _______. therefore it is more likely that none of the residents will have adequate earthquake supplies. (round your answer to 4 decimal places.)

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