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Exercise 10. Space Launches The data show the number of U.S. space launches for the 10-year periods from 1960 to 2009. Construct a time series graph for the data and analyze the graph. Solution : 60-69 70-79 80-89 90-99 100-109 206 247 199 300 Year Launches 614

Exercise 10. Space Launches The data show the number of U.S. space launches for the 10-year periods from 1960 to 2009. Construct a time series graph for the data and analyze the graph. Solution : 60-69 70-79 80-89 90-99 100-109 206 247 199 300 Year Launches 614

MATLAB: An Introduction with Applications
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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Exercise 10. Space Launches The data show the number of U.S. space launches for the 10-year periods from 1960 to 2009. Construct a time series graph for the data and analyze the graph. Solution : 60-69 Solution : Year Launches 614 70-79 80-89 90-99 199 300 247 Exercise 11. High School Dropout Rate The data show the high school dropout rate for students for the years 2003 to 2009. Construct a time series graph and analyze the graph. 100-109 206 Year 2003 2004 2005 Percent 9.9 10.3 9.4 2006 2007 2008 2009 9.3 8.7 8.0 8.1
Transcribed Image Text:Exercise 10. Space Launches The data show the number of U.S. space launches for the 10-year periods from 1960 to 2009. Construct a time series graph for the data and analyze the graph. Solution : 60-69 Solution : Year Launches 614 70-79 80-89 90-99 199 300 247 Exercise 11. High School Dropout Rate The data show the high school dropout rate for students for the years 2003 to 2009. Construct a time series graph and analyze the graph. 100-109 206 Year 2003 2004 2005 Percent 9.9 10.3 9.4 2006 2007 2008 2009 9.3 8.7 8.0 8.1
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Given information:

The data is given below,

Year 60-69 70-79 80-89 90-99 100-109
Launches 614 247 199 300 206

 

Time series graph:

A time series graph is a line graph the x-axis takes time and the y-axis takes respective values.

Define:

Trend:

It is a smooth long-term term moment of time series.

It gives a general idea of a moment in the time series.

Seasonal variation:

The variation in a time series due to the effect of the season is called seasonal variation.

 

 

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