Consider the following time series data Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 80 82 84 83 83 84 85 84 82 83 84 83 a) Construct a time series plot in Excel. Label the axes and graph. b) Develop a three month moving average forecast. Compute MSE and a forecast for month 13. c) Develop an exponential smoothing forecast with a = 0.35. Compute MSE and a forecast for month 13.

Consider the following time series data Month 1 2 3 4 5 6 7 8 9 10 11 12 Value 80 82 84 83 83 84 85 84 82 83 84 83 a) Construct a time series plot in Excel. Label the axes and graph. b) Develop a three month moving average forecast. Compute MSE and a forecast for month 13. c) Develop an exponential smoothing forecast with a = 0.35. Compute MSE and a forecast for month 13.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter9: Solving Quadratic Functions

Section: Chapter Questions

Problem 4CA

See similar textbooks

Related questions

Q: Points Scores 100 80 60 Average Homework Scores 40- 20+ 0 1 2 3 4 5 6 7 Week O Time-series study

A: Time-series study. Time series study: A type of data consisting of observations of a single subject…

Q: In retail, a store manager uses time series models to understand shopping trends. Review the…

A: The time series data is,Fiscal…

Q: consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15construct a…

A: Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…

Q: No Religious Affiliation Trends. The following table gives the percentage of first-year college…

A: Let t be the time in years, and P be the percentage of claiming no religious affiliation. Now plot…

Q: For the Texas Shipping Company, the monthly percentages of all shipments received on time over the…

A: Time series analysis is a statistical technique that deals with time series data, or trend analysis.…

Q: the values of alabama building contracts (in $ millions) for a 12-month period follow.240 350 230…

A: From the given data set the time series plot can be plotted by following the steps as written below:…

Q: _0 9.5 0 1920 Incarcerated Americans 1920-2014 1980 1940 1950 1930 Prison Jail 2010 6. Describe the…

A: A graph is the pictorial representation of the data set. Which tells what pattern data is following.…

Q: B4. A company has collected and smoothened its historical yearly sales data of a product from 2015…

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: vt 14. Calculate trend values by the method of Least Square from the data given below 4. and…

Q: Consider the following demand levels for electricity (in Megawatts) for Rundu from 1988 to 1991.…

A: Given is a timeseries data for demand levels for electricity (in Megawatts) for Rundu from 1988 to…

Q: I need help with parts a, b, c, d,and e. Consider the following time series data. Week 1 2…

A: Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…

Q: hudson Marine has been an authorized dealer for c&d marine radios for the past sevenyears. the…

A: a) A step-by-step procedure to draw the time series plot using MINITAB software: Choose Graph >…

Q: Sun spot activity goes in an eleven-year cycle. The last cycle started in 2008 and ended in 2018.…

A: According to the data we have,

Q: The following table gives the average monthly exchange rate between the U.S. dollar and the euro for…

A: The given data is as follows: January1.289February…

Q: Use the following sales data: Week Sales 1 30 2…

A: a) We know that, in naive method we can calculate forecast value as, We get result as, Using…

Q: A company has collected and smoothened its historical yearly sales data of a product from 2015 up to…

A: The table shows the sales and moving averages.

Q: Consider the following time series data. Month 2 3 4 5 6 7 Value 24 13 20 12 19 23 15 Construct a…

A: Hey, since there are multiple sub-parts posted, we will answer first three sub-parts. If you want…

Q: Find the seasonal variations by the method of 'ratio to trend' for the followin data of sales of a…

Q: A company has the following monthly sales for the past year. Plot the data points on a line graph…

A: Given data,

Q: For the data set, perform exponential smoothing with alpha = 0.1 to determine the forecast for week…

A: Given data and forecast for the following week is shown here

Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14

A: Using excel we obtain that the data appear to follow the horizontal pattern. The excel output is…

Q: Assuming that trend is absent, determine the seasonality, it any in the data given below Year 1st…

Q: For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all…

A: From the given information, thirteen months rate was given. The forecasted value of month 13 is need…

Q: Using three yearly moving averages, determine the trend and short term. fluctuations. Year : 1989…

Q: Loan applications received Interest rate (%) Loan applications 18 6.5 22 5.5 30 6. 24 8 16 8.5 18 6…

Q: the costello Music company has been in business for five years. during that time, salesof pianos…

A: The least square equation is used to predict the future value. The simple least square equation…

Q: Using the photo attached, One Stop Car Repairs ollects data on the actual demand for its services…

A: Given data:

Q: The following time series shows the sales of a particular product over the past months. Month Sales…

A: Time series is the technique used to predict the variable based on time. Four components in the time…

Question

Consider the following time series data

Month	1	2	3	4	5	6	7	8	9	10	11	12
Value	80	82	84	83	83	84	85	84	82	83	84	83

a) Construct a time series plot in Excel. Label the axes and graph.

b) Develop a three month moving average forecast. Compute MSE and a forecast for month 13.

c) Develop an exponential smoothing forecast with a = 0.35. Compute MSE and a forecast for month 13.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

Step 2

Step 3

Step 4

Trending now

This is a popular solution!

Step by step

Solved in 4 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Follow-up Questions

Read through expert solutions to related follow-up questions below.

Follow-up Question

) Which model is the better predictor based on the MSE

Solution

by Bartleby Expert

SEE SOLUTION

Similar questions

Find the mean hourly cost when the cell phone described above is used for 240 minutes.
What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?
Describe the three major categories of data (time-series, cross-sectional, and panel).
Q. 14 Explain the Graphic method of trend estimation in a time series and give its merits and demerits.
when age is rounded to the nearest year, do the data stay continous, or do they become discrete? Why?
Consider the following time series data. Choose the correct time series plot. (i) (ii) (iii) (iv) Plot (ii) What type of pattern exists in the data?Horizontal Pattern Develop a three-week moving average for this time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time SeriesValue Forecast 1 18 2 13 3 16 4 11 fill in the blank 3 5 17 fill in the blank 4 6 14 fill in the blank 5 MSE: fill in the blank 6The forecast for week 7: fill in the blank 7 Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for week 7. If required, round your answers to two decimal places. Week Time SeriesValue Forecast 1 18 2 13 fill in the blank 8 3 16 fill in the blank 9 4 11 fill in the blank 10 5 17 fill in the blank 11 6 14 fill in the blank 12 MSE: fill in the blank 13The forecast for week 7: fill in the blank 14
In retail, a store manager uses time series models to understand shopping trends. Review the scatter plot of the store’s sales from 2010 through 2021 to answer the questions. See attached as image. Here is the data for Fiscal Year and Sales: Fiscal Year Sales 2010 $260,123.00 2011 $256,853.00 2012 $274,366.00 2013 $290,525.00 2014 $322,318.00 2015 $380,921.00 2016 $541,925.00 2017 $909,050.00 2018 $1,817,521.00 2019 $3,206,564.00 2020 $4,921,005.00 2021 $5,686,338.00 Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), cycle (C), seasonal (S), and irregular (I). What is the difference between these components? The model can be additive or multiplicative. When do you use each? Review the scatter plot of the exponential trend of the time series data. Do you observe a trend? If so, what type of trend do you observe? What predictions might you make about the store’s annual sales over the next few years?
A consumer interest group is tracking the percentage of household income spent on gasoline over the past 30 years. Which graphical display would be more useful, a histogram or a time-series graph. Why? a. A histogram because the change in data over time is the most relevant issue.b. A time-series graph because the change in data over time is the most relevant issue. c. A time-series graph because the range of values for the data is the most relevant issue.6. A histogram because the range of values for the data is the most relevant issue.
Companies are devoting time and energy to promote recycling. A major recycling company found some old documents that present the recorded amount of cell phone collected over a span of eight years. Year Cellular Telephones Collected (in millions) 2009 2.2 2010 2.6 2011 2.9 2012 3.4 2013 3.1 2014 4.2 2015 4.9 2016 5.3 Part a) Develop a time series plot with Year on the X axis and Cellular Telephones Collected on the Y axis. Part b) Does there appear to be a relationship between time and cellular telephones collected?
Determine the trend regression function for this data set. In order to obtain full marks for this question, you must complete the relevant table (template provided below) and then apply the appropriate time series formulae in the formulae sheet.
consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15construct a time series plot. What type of pattern exists in the data?a. develop the three-week moving average forecasts for this time series. compute MSeand a forecast for week 8.b. Use a = .2 to compute the exponential smoothing forecasts for the time series. compute MSe and a forecast for week 8.c. compare the three-week moving average approach with the exponential smoothing approach using a = .2. Which appears to provide more accurate forecasts based on MSe?d. Use a smoothing constant of a = .4 to compute the exponential smoothing forecasts.does a smoothing constant of .2 or .4 appear to provide more accurate forecasts basedon MSe? explain
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Construct a time series plot. What type of pattern exist in the data? Develop a three-week moving average for this time series. Compute MSE and forecast for week 7. Use a = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and forecast for week 7.