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For each of X₁, X2, X3, X4, 1. Plot a line plot 2. Plot the acf (autocorrelation function) 3. Plot the pacf 4. Identify the series 5. Estimate the parameters of the series 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ~ 3 23 A i 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 B Year 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949 Sheet1 с Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct + D X₁ 278 310 298 225 185 385 356 274 197 166 189 203 295 294 318 301 349 550 478 408 294 290 E X₂ 1511 1694 1614 1482 1245 1108 1195 1177 1146 981 1163 1344 1923 2292 2267 2081 2154 2163 2547 2293 2115 2419 F X3 116 153 142 139 93 323 256 152 138 90 128 104 149 180 169 171 193 388 356 230 271 190 G X4 446 650 592 561 491 592 604 635 580 510 553 554 628 708 629 724 820 865 1007 1025 955 889 H

For each of X₁, X2, X3, X4, 1. Plot a line plot 2. Plot the acf (autocorrelation function) 3. Plot the pacf 4. Identify the series 5. Estimate the parameters of the series 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ~ 3 23 A i 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 B Year 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949 Sheet1 с Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct + D X₁ 278 310 298 225 185 385 356 274 197 166 189 203 295 294 318 301 349 550 478 408 294 290 E X₂ 1511 1694 1614 1482 1245 1108 1195 1177 1146 981 1163 1344 1923 2292 2267 2081 2154 2163 2547 2293 2115 2419 F X3 116 153 142 139 93 323 256 152 138 90 128 104 149 180 169 171 193 388 356 230 271 190 G X4 446 650 592 561 491 592 604 635 580 510 553 554 628 708 629 724 820 865 1007 1025 955 889 H

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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Could you solve the questions with R, please? (Only R please)
Use acf() function and auto.arima package in R to solve the questions 

I took a screenshot of the data. ( please write the codes based on the screenshot data) 
There are a total of 409 rows in the data.

When you write the R codes, could you also include explanations as well?  

For each of X₁, X2, X3, X4, 1. Plot a line plot 2. Plot the acf (autocorrelation function) 3. Plot the pacf 4. Identify the series 5. Estimate the parameters of the series 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ~ 3 23 A i 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 B Year 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949 Sheet1 с Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct + D X₁ 278 310 298 225 185 385 356 274 197 166 189 203 295 294 318 301 349 550 478 408 294 290 E X₂ 1511 1694 1614 1482 1245 1108 1195 1177 1146 981 1163 1344 1923 2292 2267 2081 2154 2163 2547 2293 2115 2419 F X3 116 153 142 139 93 323 256 152 138 90 128 104 149 180 169 171 193 388 356 230 271 190 G X4 446 650 592 561 491 592 604 635 580 510 553 554 628 708 629 724 820 865 1007 1025 955 889 H
Transcribed Image Text:For each of X₁, X2, X3, X4, 1. Plot a line plot 2. Plot the acf (autocorrelation function) 3. Plot the pacf 4. Identify the series 5. Estimate the parameters of the series 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 ~ 3 23 A i 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 B Year 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949 Sheet1 с Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct + D X₁ 278 310 298 225 185 385 356 274 197 166 189 203 295 294 318 301 349 550 478 408 294 290 E X₂ 1511 1694 1614 1482 1245 1108 1195 1177 1146 981 1163 1344 1923 2292 2267 2081 2154 2163 2547 2293 2115 2419 F X3 116 153 142 139 93 323 256 152 138 90 128 104 149 180 169 171 193 388 356 230 271 190 G X4 446 650 592 561 491 592 604 635 580 510 553 554 628 708 629 724 820 865 1007 1025 955 889 H
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