I would appreciate some help figuring out the analysis of unemployment rates by education and gender. I am encourage to use r studio, LM regression model. I am having trouble with the code for the lm regression model. Additionally, I am specifically having more trouble figuring out the code for "unemployment rates by education and model using the data I have.

DATE	Unemployment Rate - College Graduates - Bachelor's Degree, 25 to 34 yrs old	Unemployment Rate - Men	Unemployment Rate - Women	Unemployment Rate - Less Than a High School Diploma, 25 yrs & over	Unemployment Rate - High School Graduates, No College, 25yrs. & over
1/1/2011	4.6	9.7	8.5	14.3	9.5
2/1/2011	5	9.5	8.5	14	9.7
3/1/2011	4.7	9.5	8.4	14.1	9.7
4/1/2011	4.3	9.6	8.5	14.7	9.9
5/1/2011	4.3	9.5	8.5	14.5	9.6
6/1/2011	4.7	9.6	8.5	14.4	10
7/1/2011	5.2	9.5	8.4	14.5	9.1
8/1/2011	5	9.4	8.5	14.1	9.3
9/1/2011	4.6	9.3	8.7	14.3	9.4
10/1/2011	4.3	9.2	8.4	13.5	9.4
11/1/2011	4.1	8.9	8.3	12.8	8.8
12/1/2011	4.2	8.7	8.3	13.7	8.7
1/1/2012	4.6	8.4	8.2	13	8.5
2/1/2012	5.1	8.4	8.1	13.1	8.3
3/1/2012	4.6	8.4	8	12.8	8.1
4/1/2012	4	8.3	8	12.5	8
5/1/2012	4.4	8.4	7.9	12.9	8.3
6/1/2012	4.9	8.4	7.9	12.6	8.6
7/1/2012	4.8	8.3	8	12.4	8.5
8/1/2012	4.9	8.3	7.8	11.8	8.6
9/1/2012	4.6	8	7.6	11.7	8.5
10/1/2012	4.1	7.9	7.6	12.1	8.3
11/1/2012	4.2	7.9	7.6	12	8
12/1/2012	4.2	7.9	7.9	11.8	8
1/1/2013	4.7	8.2	7.8	12	8.1
2/1/2013	4.1	7.8	7.6	11.3	7.9
3/1/2013	3.6	7.6	7.5	11.1	7.7
4/1/2013	3.9	7.8	7.3	11.6	7.5
5/1/2013	3.9	7.9	7.1	11	7.3
6/1/2013	4.5	7.7	7.3	10.7	7.7
7/1/2013	4.7	7.7	6.8	10.8	7.5
8/1/2013	4.3	7.7	6.7	11.1	7.4
9/1/2013	4.6	7.7	6.7	10.5	7.6
10/1/2013	4.5	7.5	6.8	10.9	7.2
11/1/2013	4	7.2	6.7	10.7	7.2
12/1/2013	3.4	6.8	6.6	9.8	7
1/1/2014	3.9	6.8	6.3	9.4	6.5
2/1/2014	4.3	6.9	6.4	9.8	6.4
3/1/2014	3.4	6.7	6.6	9.4	6.3
4/1/2014	3.1	6.4	6.1	8.7	6.2
5/1/2014	3.3	6.4	6.2	9.2	6.5
6/1/2014	3.9	6.3	5.8	9.2	5.9
7/1/2014	4.2	6.2	6.1	9.5	6.1
8/1/2014	3.9	6.3	6	9.2	6.1
9/1/2014	2.9	5.9	6	8.5	5.4
10/1/2014	3.6	5.6	5.9	8.1	5.7
11/1/2014	3.3	5.9	5.8	8.6	5.7
12/1/2014	3.2	5.7	5.4	8.6	5.3
1/1/2015	3.7	5.8	5.5	8.3	5.4
2/1/2015	2.8	5.6	5.3	8.2	5.4
3/1/2015	2	5.6	5.3	8.6	5.3
4/1/2015	2.8	5.5	5.4	8.4	5.5
5/1/2015	2.8	5.7	5.5	8.7	5.8
6/1/2015	2.7	5.3	5.1	8.2	5.4
7/1/2015	3	5.2	5.2	8.3	5.5
8/1/2015	2.6	5.1	5	7.9	5.5
9/1/2015	2.4	5.1	5	7.9	5.3
10/1/2015	2.7	5.1	5	7.6	5.2
11/1/2015	2.2	5.2	5	6.8	5.4
12/1/2015	2.7	5.1	4.9	6.4	5.6
1/1/2016	2.7	4.8	4.9	7.1	5.1
2/1/2016	2.8	4.9	4.8	7	5.1
3/1/2016	2.9	4.9	5.1	7.3	5.3
4/1/2016	2.6	5.1	5	7.6	5.5
5/1/2016	2.8	4.8	4.8	7.4	5.1
6/1/2016	3	4.9	4.8	7.6	5.1
7/1/2016	2.4	5	4.5	6.5	5.1
8/1/2016	3.3	5	4.8	7.4	5
9/1/2016	2.4	5.1	4.8	8.7	5.2
10/1/2016	2.5	5	4.7	7.5	5.5
11/1/2016	2.3	4.9	4.6	7.9	5
12/1/2016	2.5	4.8	4.6	7.5	5.1
1/1/2017	2.8	4.7	4.7	7.4	5.2
2/1/2017	3.2	4.6	4.6	7.5	4.9
3/1/2017	2.9	4.5	4.3	6.5	4.9
4/1/2017	2.8	4.4	4.5	6.5	4.6
5/1/2017	2.6	4.3	4.4	6.1	4.7
6/1/2017	2.2	4.3	4.3	6.5	4.5
7/1/2017	2.9	4.4	4.2	7.1	4.5
8/1/2017	2.4	4.5	4.3	6.1	5
9/1/2017	2.1	4.3	4.2	6.7	4.3
10/1/2017	1.8	4.3	4	6	4.2
11/1/2017	2	4.3	4.1	5.4	4.4
12/1/2017	2.2	4.2	4.1	6.3	4.2
1/1/2018	2.5	4.1	4	5.4	4.5
2/1/2018	2.3	4	4.1	5.7	4.4
3/1/2018	2.5	4	4	5.5	4.3
4/1/2018	2.2	4.1	3.9	5.9	4.3
5/1/2018	2.1	4	3.6	5.2	3.9
6/1/2018	2.5	4.1	3.9	5.5	4.1
7/1/2018	2.2	3.8	3.9	5	4.1
8/1/2018	2.2	3.8	3.8	5.6	4
9/1/2018	2.1	3.8	3.6	5.7	3.7
10/1/2018	2.2	3.9	3.7	5.9	4
11/1/2018	2.4	3.7	3.8	5.9	3.5
12/1/2018	2.1	4	3.8	5.9	3.8
1/1/2019	2.8	4	3.9	5.7	3.8
2/1/2019	2.6	3.7	3.8	5.3	3.8
3/1/2019	2.2	3.9	3.7	5.9	3.7
4/1/2019	2.5	3.8	3.5	5.3	3.4
5/1/2019	2.4	3.7	3.6	5.1	3.5
6/1/2019	2.4	3.7	3.6	5.2	3.8
7/1/2019	2.5	3.7	3.7	4.9	3.6
8/1/2019	2.3	3.7	3.5	5.4	3.6
9/1/2019	1.5	3.6	3.4	4.9	3.5
10/1/2019	1.8	3.7	3.4	5.6	3.7
11/1/2019	2	3.6	3.6	5.5	3.6
12/1/2019	2	3.5	3.6	5.4	3.7
1/1/2020	2.6	3.5	3.6	5.6	3.9
2/1/2020	2.5	3.5	3.5	5.7	3.7
3/1/2020	2.6	4.4	4.4	7.1	4.5
4/1/2020	10.2	13.5	16.2	21.3	17.7
5/1/2020	9.6	12.1	14.5	19.6	15.9
6/1/2020	9.5	10.5	11.6	16.4	12.3
7/1/2020	10.6	9.8	10.7	15	10.8
8/1/2020	8	8.2	8.6	12.5	9.9
9/1/2020	6.3	7.7	8.1	10.6	9.1
10/1/2020	5.2	7	6.7	9.8	8.2
11/1/2020	5.1	6.9	6.4	9.4	7.8
12/1/2020	4	6.7	6.7	9.9	7.9
1/1/2021	5.1	6.4	6.4	9	7
2/1/2021	3.9	6.4	6.1	10.2	7.1
3/1/2021	3.7	6.2	6	8.4	6.6
4/1/2021	4	6.3	5.9	9.4	7
5/1/2021	3.2	6	5.5	9	6.9
6/1/2021	4.1	6.1	5.7	10.3	7
7/1/2021	4.1	5.7	5.2	9.4	6.2
8/1/2021	4.1	5.3	5	7.7	6
9/1/2021	2.7	4.9	4.5	7.7	5.7
10/1/2021	2.9	4.5	4.5	7.1	5.3
11/1/2021	2.7	4.1	4.2	5.6	5.1
12/1/2021	2.2	3.9	3.9	5.3	4.5
1/1/2022	2.5	4.1	3.9	6.3	4.6
2/1/2022	2.9	3.8	3.9	4.4	4.4
3/1/2022	2.3	3.6	3.7	5.3	4
4/1/2022	2.6	3.8	3.5	5.4	3.8
5/1/2022	2.3	3.6	3.6	5.2	3.7
6/1/2022	2.8	3.7	3.6	5.7	3.6
7/1/2022	2.9	3.6	3.4	5.9	3.6
8/1/2022	2.6	3.7	3.5	6.2	4.4
9/1/2022	2.3	3.5	3.4	5.6	3.7
10/1/2022	2	3.6	3.6	6.2	4
11/1/2022	2.5	3.7	3.6	4.3	3.9
12/1/2022	2.3	3.4	3.5	5	3.6
1/1/2023	3.1	3.6	3.3	4.5	3.8
2/1/2023	2.9	3.6	3.5	5.8	3.6
3/1/2023	2.9	3.6	3.4	4.8	4
4/1/2023	2.2	3.5	3.4	5.4	3.9
5/1/2023	2.7	3.7	3.6	5.7	3.9
6/1/2023	2.9	3.7	3.4	6	3.9
7/1/2023	3.1	3.7	3.4	5.3	3.3
8/1/2023	3.1	4	3.5	5.4	3.9
9/1/2023	2.7	4.1	3.4	5.5	4.1
10/1/2023	3.1	4.1	3.6	5.8	4
11/1/2023	2.7	4	3.4	6.3	4.1
12/1/2023	2.6	3.9	3.6	6	4.2
1/1/2024	2.7	3.9	3.4	6	4.3
2/1/2024	3.2	3.8	3.9	6.1	4.2
3/1/2024	2.9	3.7	3.9	4.9	4.1