TABLE B.10 United Kingdom Airline Miles Flown Month Miles (In Millions) Month Mi
ID: 3068085 • Letter: T
Question
TABLE B.10 United Kingdom Airline Miles Flown Month Miles (In Millions) Month Miles (In Millions) Jan-1964 Feb-1964 Mar-1964 Apr-1964 May-1964 Jun-1964 Jul-1967 Aug-1967 Sep-1967 Oct-1967 Nov-1967 Dec-1967 Jan-1968 Feb-1968 12.246 13.281 8.730 9.069 10.248 8.639 8.772 10.894 10.455 11.179 10.588 10.794 12.770 13.812 10.857 9.290 10.925 9.491 8.919 11.607 8.852 12.537 14.759 10.882 Aug-1964 Sep-1964 Oct-1964 Nov-1964 Dec-1964 Jan-1965 Feb-1965 Mar-1965 10.333 7.685 8.350 8.829 ar Apr-1968 May-1968 Jun-1968 Jul-1968 Aug-1968 Sep-1968 Oct-1968 May Jun-1965 Jul-1965 Dec-1968 Jan-1969 Feb-1969 Mar-1969 Apr-1969 May-1969 Jun-1969 Jul-1969 Aug-1969 Sep-1969 Oct-1969 Nov-1969 Dec-1969 Jan-1970 Feb-1970 Mar-1970 Apr-1970 May-1970 11.424 11.391 10.665 9.396 Oct-1965 oV. Dec-1965 Jan-1966 Feb-1966 Mar-1966 8.186 13.731 Jun-1966 Jul-1966 Aug-1966 Sep-1966 Oct-1966 Nov-1966 Dec-1966 Jan-1967 Feb-1967 Mar-1967 Apr-1967 May-1967 10.252 12.282 11.637 11.577 12.417 9.637 8.094 9.280 8.334 7.899 9.994 10.078 10.801 12.953 12.161 10.840 10.436 13.589 13.402 14.933 14.057 12.389 12.772 un- Jul-1970 Aug-1970 Sep-1970 Oct-1970 Nov-1970 Dec-1970 Source: Adapted from Montgomery, Johnson, and Gardner (1990), withExplanation / Answer
R-code for solving time series analysis are given as:
Data <- read_excel("C:/Users/Radha Rani/Desktop/Data.xlsx")
View(Data)
#Autocorrelation Fuction.
acf(Data$`Miles(In million)`)
#Test for checking Stationary time series.
adf.test(Data$`Miles(In million)`)
Output is as given by;
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.