How to do this graph by using linear regression in R? Thanks. The table presents monthly data across three years: 2020, 2021, and 2022. Each row corresponds to a year, and each column represents a month from October to September, followed by the total for each year.### Monthly Data- **2022** - October: 187,136 - November: 198,553 - December: 205,691 - January: 186,808 - February: 190,578 - March: 250,404 - April: 262,109 - May: 274,992 - June: 247,523 - July: 238,929 - August: 251,521 - September: 272,338 - **Total:** 2,766,582- **2021** - October: 90,585 - November: 89,072 - December: 92,746 - January: 95,276 - February: 115,559 - March: 192,025 - April: 196,190 - May: 198,459 - June: 207,823 - July: 233,919 - August: 231,243 - September: 213,622 - **Total:** 1,956,519- **2020** - October: 61,159 - November: 57,524 - December: 56,186 - January: 52,254 - February: 54,884 - March: 51,869 - April: 29,743 - May: 39,377 - June: 50,086 - July: 53,672 - August: 65,707 - September: 73,861 - **Total:** 646,822### AnalysisThis table illustrates a trend of increasing values year over year from 2020 to 2022, with the highest annual total observed in 2022. Each year's monthly figures contribute to a significant overall increase in total values, highlighting a steady growth pattern.

Let's Change the given data set as follows: x y 1 52254 2 54884 3 51869 4 29743 5…

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How to do this graph by using linear regression in R?

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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How to do this graph by using linear regression in R? Thanks.

The table presents monthly data across three years: 2020, 2021, and 2022. Each row corresponds to a year, and each column represents a month from October to September, followed by the total for each year.

### Monthly Data

- **2022**
- October: 187,136
- November: 198,553
- December: 205,691
- January: 186,808
- February: 190,578
- March: 250,404
- April: 262,109
- May: 274,992
- June: 247,523
- July: 238,929
- August: 251,521
- September: 272,338
- **Total:** 2,766,582

- **2021**
- October: 90,585
- November: 89,072
- December: 92,746
- January: 95,276
- February: 115,559
- March: 192,025
- April: 196,190
- May: 198,459
- June: 207,823
- July: 233,919
- August: 231,243
- September: 213,622
- **Total:** 1,956,519

- **2020**
- October: 61,159
- November: 57,524
- December: 56,186
- January: 52,254
- February: 54,884
- March: 51,869
- April: 29,743
- May: 39,377
- June: 50,086
- July: 53,672
- August: 65,707
- September: 73,861
- **Total:** 646,822

### Analysis

This table illustrates a trend of increasing values year over year from 2020 to 2022, with the highest annual total observed in 2022. Each year's monthly figures contribute to a significant overall increase in total values, highlighting a steady growth pattern.

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