A manager uses a trend equation plus quarterly relatives to predict demand. Quarter relatives are SR₁ =0.9, SR₂ = 0.95, SR3 = 1.05,and SR4 = 1.1. The trend equation is: Ft= 7+ 5t. Over the past nine quarters, demand has been as follows:Period, t:Demand:4 5 6 7 8 9318 20 23 28 34 40 45 511 215Click here for the Excel Data FilePeriod, t123456789Compute the MAD and tracking signal for each period. (Negative values should be indicated by a minus sign. Round yourintermediate calculations and final answers to 3 decimal places.)Demand151820232834404551MADTracking signal1.000

The trend equation, The quarter relative are The period and demand data set is,Period,…

Answered: A manager uses a trend equation plus…

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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An economist want to determine the relation between one’s FICO score, x, and the interest rate of a 36-month auto loan, y. The given data represent the interest rate (in percent) a bank would offer on a 36-month auto load for various FICO scores. Credit Score;x Interest Rate (percent);y 545 18.982 595 17.967 640 12.218 675 8.612 705 6.68 750 5.15 Find the least-squares regression line treating the FICO score as the explanatory variable and the interest rate as the response variable. Predict the interest rate a person would pay if their FICO score were the median score of 723.
Use the following sales data: Week Sales 1 30 2 35 3 56 4 85 5 95 6 45 7 65 8 74 9 73 10 39 Use naive method, a three-period moving average and exponential smoothing with an a=0.35 for forecast sales Compare the forecasts using MSE and MAD. Explain which one is the best. Make a forecast for weeks 11 and week 12 by using the optimal method.
Which of the following best describes the trend of the graph? Scatterplot of Salary vs Start Year 100 80 60 40 20 1985 1990 1995 2000 2005 2010 Start Year There is a positive linear trend. There is a negative linear trend. O There is no linear trend. Salary (in thousands of dollars per year)
Use the Women's Earnings scatterplot below to answer the questions. Women's Earnings as a Percentage of Men's Earnings 90 80 70 60 50 y = 0.617x - 1156.3 R² = 0.9302 40 30 20 10 1979 1984 1989 1994 1999 2004 2009 Year Interpret the meaning of the slope of the trend line equation. Women's earnings, as a percentage of men's earnings, increase by .617 percentage points each year. In 1979, women's earnings were 61.7% of men's earnings. Women earned $1156.30 less than men. Women earnings were 93% of men's earnings. Percentage
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
For the data set, perform exponential smoothing with alpha = 0.1 to determine the forecast for week 20. week Sales (1000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 13 31 14 34 15 31 16 33 17 28 18 32 19 30
please answer within 30 minutes.
Year Percent of workers paid hourly rates 1979 61.2 1980 60.7 1981 61.3 1982 61.3 1983 61.8 1984 61.7 1985 61.8 1986 62.0 1987 62.7 1990 62.8 1992 62.9 The percent of female wage and salary workers who are paid hourly rates is given above for the years 1979-1992. a. Using "year" as the independent variable and "percent" as the dependent variable, make a scatter plot of the data. b. Does it appear from inspection that there is a relationship between the variables? c. Find the estimated percents for 1991 and 1988. d. Use the two points in part C to plot the least squares line on your graph from part A.
The accompanying data represent the yearly amount of solar power installed (in megawatts) in a particular area from 2000 through 2008. The trend forecasting equations below were found, where X is the number of years after 2000. Complete parts (a) through (d) below. Y₁ = -9.689 +28.8667X₁ Y₁ = 21.02 +2.546X; +3.2900X² Click the icon to view the data table. a. Compute the standard error of the estimate (Syx) for each model. Linear Quadratic Syx (Round to three decimal places as needed.) b. Compute the MAD for each model. Linear Quadratic MAD (Round to three decimal places as needed.) c. On the basis of (a) and (b) and the principle of parsimony, which forecasting model would you select? The model with the ✔values of Syx and MAD should be used, which is the ▼model. Yearly Amount of Solar Power Installed Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 Amount (megawatts) 13 30 44 Print 73 86 95 145 214 252 Q Done X
The following scatter-plot shows the decreasing trend in Motor Vehicle Theft. Interpret (using a sentence) the slope. Motor Vehicle Theft 1,800,000 1,600,000 y = -195,848x + 1,841,017| 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 1985 1990 1995 2000 2005 2010 2015 2020 Year Between 1990 and 2104 Motor Vehicle Thefts decrease by a total of 195,848 Between 1990 and 2014 the total number of Motor Vehicle Thefts decreased by 195,848 to a reach a total of 1,841,017 in 2014 Between 1990 and 2014 the total number of Motor Vehicle Thefts was 1,841,017 Between 1990 and 2014 the average yearly decline in Motor Vehicle Deaths was 8,160/ year Between 1990 and 2014 the number of Motor Vehichle Thefts decreased on average by 195,848 per year Number of vehicle thefts
C. Describe the four characteristics of association
Give typed full explanation

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