Describe the relationship between variables by usingscatterplot, computing correlation coefficient, constructing a multiple linear regression model for the below data.

Dependent Variable: GDP

Independent Variables: Inflation and house price

Date	Inflation	GDP	house price
1/1/2012	-0.466	3.3	310.04
4/1/2012	-0.225	1.8	308.63
7/1/2012	0.065	0.7	312.75
10/1/2012	0.626	0.4	315.19
1/1/2013	0.989	3.5	316.77
4/1/2013	1.061	0.6	321.61
7/1/2013	1.471	3.2	326.24
10/1/2013	1.896	2.9	328.85
1/1/2014	2.386	-1.4	331.58
4/1/2014	2.899	5.2	337.99
7/1/2014	3.19	4.7	342.9
10/1/2014	3.071	1.8	345.67
1/1/2015	2.643	3.3	349.48
4/1/2015	3.141	2.3	355.16
7/1/2015	3.39	1.3	360.2
10/1/2015	3.288	0.6	363.12
1/1/2016	3.343	2.4	366.46
4/1/2016	3.992	1.2	373.33
7/1/2016	4.382	2.4	379.98
10/1/2016	4.876	2	382.94
1/1/2017	5.497	1.7	385.74
4/1/2017	5.758	2	394.37
7/1/2017	6.142	3.4	400.46
10/1/2017	6.818	4.1	403.79
1/1/2018	7.588	2.8	409.47
4/1/2018	8.166	2.8	417.04
7/1/2018	8.552	2.9	422.12
10/1/2018	8.961	0.7	423.58
1/1/2019	9.188	2.2	428.3
4/1/2019	9.857	2.7	435.43
7/1/2019	10.144	3.6	440.98
10/1/2019	10.543	1.8	444.9
1/1/2020	10.946	-4.6	450.06
4/1/2020	10.445	-29.9	454.53
7/1/2020	11.366	35.3	462.47
10/1/2020	11.821	3.9	472.64
1/1/2021	13.059	6.3	483.97
4/1/2021	14.838	7	510.9
7/1/2021	16.413	2.7	539.37
10/1/2021	18.173	7	558.02
1/1/2022	20.323	-1.6	578.63
4/1/2022	22.459	-0.6	618.03
7/1/2022	23.76	3.2	628.55
10/1/2022	17.596	2.7	623.66