With respect to Leslie Salt Data Set, Discuss and Answer the following questions: 1. What is the nature of each of the variables? Which variable is dependent variable and what are the independent...

With respect to Leslie Salt Data Set, Discuss and Answer the following questions: 1. What is the nature of each of the variables? Which variable is dependent variable and what are the independent variables in the model? 2. Check whether the variables require any transformation individually 3. Set up a regression equation, run the model and discuss your resultsA description of the variables is provided below.Variable name. DescriptionPrice. Sales price in $000 per acreCounty. San Mateo=0, Santa Clara =1Size Size of the property in acresElevation. Average Elevation in foot above sea levelSewer. Distance (in feet) to nearest sewer connectionDate. Date of sale counting backward from current time (in months)Flood Subject to flooding by tidal action =1; otherwise =0Distance in miles from Leslie Property (in almost all cases, this is toward San Francisco

Data Set

Price	County	Size	Elevation	Sewer	Date	Flood	Distance
4.50	1	138.40	10	3000	-103	0	0.30
10.60	1	52.00	4	0	-103	0	2.50
1.70	0	16.10	0	2640	-98	1	10.30
5.00	0	1695.20	1	3500	-93	0	14.00
5.00	0	845.00	1	1000	-92	1	14.00
3.30	1	6.90	2	10000	-86	0	0.00
5.70	1	105.90	4	0	-68	0	0.00
6.20	1	56.60	4	0	-64	0	0.00
19.40	1	51.40	20	1300	-63	0	1.20
3.20	1	22.10	0	6000	-62	0	0.00
4.70	1	22.10	0	6000	-61	0	0.00
6.90	1	27.70	3	4500	-60	0	0.00
8.10	1	18.60	5	5000	-59	0	0.50
11.60	1	69.90	8	0	-59	0	4.40
19.30	1	145.70	10	0	-59	0	4.20
11.70	1	77.20	9	0	-59	0	4.50
13.30	1	26.20	8	0	-59	0	4.70
15.10	1	102.30	6	0	-59	0	4.90
12.40	1	49.50	11	0	-59	0	4.60
15.30	1	12.20	8	0	-59	0	5.00
12.20	0	320.60	0	4000	-54	0	16.50
18.10	1	9.90	5	0	-54	0	5.20
16.80	1	15.30	2	0	-53	0	5.50
5.90	0	55.20	0	1320	-49	1	11.90
4.00	0	116.20	2	900	-45	1	5.50
37.20	0	15.00	5	0	-39	0	7.20
18.20	0	23.40	5	4420	-39	0	5.50
15.10	0	132.80	2	2640	-35	0	10.20
22.90	0	12.00	5	3400	-16	0	5.50
15.20	0	67.00	2	900	-5	1	5.50
21.90	0	30.80	2	900	-4	0	5.50