is there seasonality? interpret the decomposed plot Time20002005201020152020randomseasonalV00 000 100 8000 200 200 900-wwwwwwwwwwwwwwtrendobserved3.1 3.2 3.3 3.4 3.5 3.0 3.2 3.4 3.6^^^Decomposition of additive time series

Seasonal Decomposition: In time series analysis, seasonal decomposition is a method used to…

Answered: is there seasonality? interpret the…

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 number of new contributors to a public radio station's annual fund drive over the last ten years is 170, 168, 165, 172, 178, 180, 175, 185, 180, 188 Develop a trend equation (regression equation) for this information and use it to predict period 11's number of new contributors. What is the R square value? What does R square signify?
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
Identify the variable as either qualitative or quantitative.(a) months in the year (b) distance of a successful field goal during a football season
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? OA. The variable "weekly time spent watching television" is likely normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. OC. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for…
Describe three approaches to modeling seasonality in a regression forecast.

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