The first Graph is the Microsoft TS plot. I had to create the Time Series Plot using date and revenue for Microsoft the date starts from 1990 to 2018 ( Old date first) and the second and 3rd pictures are the Autocorrelation function for Microsoft revenue data. Please briefly explain the T, C, S components.

Time Series Plot of Revenue 35000 30000 25000 20000 Revenue 15000 10000 wany telny Japonia 5000 0 1 12 24 36 48 60 72 84 96 108 Index Autocorrelations Lag ACF T LBQ 1 0.942535 10.15 105.74 2 0.919508 5.94 207.26 3 0.878655 4.48 300.78 4 0.868196 3.81 392.90 5 0.816736 3.21 475.16 6 0.799464 2.89 554.69 7 0.770126 2.61 629.17 8 0.767863 2.46 703.90 9 0.727765 2.22 771.65 10 0.719862 2.11 838.57 11 0.698538 1.97 902.18 12 0.698725 1.91 966.43 | Autocorrelation Function for Revenue (with 5% significance limits for the autocorrelations) 1.0 0.8 0.6 0.4 0.2 Autocorrelation 0.0 -0.2 -0.4 -0.6 -0.8 -1.0 1 2 3 4 5 6 7 8 9 10 11 12 Lag