Hi, please help to correct all the red marks below which was wrong, thank you.

1. PepsiCo Revenues ($ billions), 2014 to 2019

Quarter	2014	2015	2016	2017	2018	2019
Quarter 1	12.62	12.22	11.86	12.05	12.56	12.88
Quarter 2	16.89	15.92	15.40	15.71	16.09	16.45
Quarter 3	17.22	16.33	16.03	16.24	16.48	17.19
Quarter 4	19.95	18.58	19.52	19.53	19.52	20.64

(c) Use software of your choice (e.g., MegaStat, Minitab, or R) to deseasonalize the data and calculate quarterly seasonal indexes. (Round your answers to 3 decimal places.) X Answer is complete but not entirely correct. 1 2 3 4 2014 0. 189 X 0.253 X 0.258 X 0.299 X 2015 0. 194 X 0.252 X 0.259 X 0.295 X 2016 0. 189 X 0.245 X 0.255 X 0.311 X 2017 0. 190 X 0.247 X 0.256 X 0.307 X 2018 0. 194 X 0.249 X 0.255 X 0.302 X 2019 0. 192 X 0.245 X 0.256 X 0.307 X Mean 0. 191 X 0.249 X 0.256 X 0.303 X 0.313 X Adjusted 0.765 X 0.995 X 1.026 1.214 X 1.222 X (e) Perform a regression using seasonal binaries. Interpret the results. (A negative value should be indicated by a minus sign.) x Answer is complete but not entirely correct. yt 19.425300 X + 0.014100 X t + -7.215900 Q1 + -3.518400 X Q2 + -3.027500 X Q3[a- Use MegaStat or Minitab or R to deseascnalize the quarterly data on CecaCola's revenues and calculate seasonal indexes. [Round your answers to 3 decimal places.) 6 Answer is complete but not entirely correct. 1 2 3 4 2014 0.200 6 0.2309 2015 0.2429 0.2249 0.2536 0.2236 2010 0.2459 0.2209 0.2546 0.2259 2017' 0.2536 0.2246 0.2506 0.212 6 2010 0.245 9 0.302 9 0.2016 0.122 6 2019 0.2109 0.2239 mean 0.240 9 0.229 9 0.202 6 0.220 6 [a-ZII State the adjusted four quarterly indexes. [Round your answers to 3 decimal places.) 9 Answer is complete but not entirely correct. Quarter 1 Quarter 2 Quarter 3 Quarterd Adjusted 0.9526 1.1116 1.0446 0.3326 [a-BII What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places] 0 Answer is complete but not entirely correct. '5 ' 11.91246'X 0.179 (c) Use software of your choice (e.g., MegaStat, Minitab, or R) to deseasonalize the data and calculate quarterly seasonal indexes. (Round your answers to 3 decimal places.) 0 Answer is complete but not entirely correct. 1 2 3 4 2014 0.189 9 0.253 0 1.036 9 1.213 9 2015 0.754 9 0.999 a 1.039 9 1.190 9 2016 0.765 9 0.988 a 1.019 9 1.236 9 2017 0.760 9 0.989 9 1.018 a 1.216 a 2013 0.778 9 0.995 a 1.017 9 1.198 9 2019 0.784 9 0.988 O 0.256 a 0.307 0 Mean 0.768 O 0.992 0 1.026 a 1.211 0 3.997 0 Adjusted 0.769 9 0.993 a 1.026 9 1.212 9 4.000 9 (e) Perform a regression using seasonal binaries. Interpret the results. (A negative value should be indicated by a minus sign.) 0 Answer is complete but not entirely correct. yt 194253330 + 0.0141439 t + 72159009 Q1 + 415183810 Q2 + 3.0275249 03