Please use SAS, if possible. Anything else is acceptable. Thanks.Table 11.17X1X2X3X4X5X6X7X8X9Y4.91813.4720.99817442025.95.02113.5311.527462029.54.54312.2751.17516340027.94.55714.051.23216354025.95.0614.4551.12116342029.93.89114.4550.98816356029.95.89815.851.2417351130.95.60419.521.50106332028.95.82816.4351.22526332035.95.314.9881.55216330031.56.27115.520.975152300315.95916.6661.12126332030.95.05151.02052461308.2461.55.151.66428450036.96.6971.56.9021.4881.57322141.97.7841.57.1021.37616317040.59.03817.81.51.57323043.95.98915.521.25626340137.97.5421.551.6916322037.98.7951.59.891.8228450144.56.0831.56.7271.65216344037.98.3611.59.151.77728448138.98.14181.5042733036.99.1421.57.3261.8311.58431045.8 Table 11.18 List of variables for data in table 11.17VariableDefinitionYSale price of the house in thousands of dollarsX1Taxes(local, county, school) in thousands of dollarsX2Number of bathroomsX3Lot size (in thousands of square feet)X4Living space (in thousands of square feet)X5Number of garage stallsX6Number of roomsX7Number of bedroomsX8Age of the home (years)X9Number of fireplaces a) In a fitted regression model that relates the sale price to taxes and building characteristics, would you include all the variables?

Name: Please use SAS, if possible. Anything else is acceptable. Thanks.Table
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Description: Please use SAS, if possible. Anything else is acceptable. Thanks.Table 11.17X1X2X3X4X5X6X7X8X9Y4.91813.4720.99817442025.95.02113.5311.527462029.54.54312.2751.17516340027.94.55714.051.23216354025.95.0614.4551.12116342029.93.89114.4550.98816356029.95.8

It is given that the data of 10 variables and their definitions. Perform Regression analysis using…

Answered: a) In a fitted regression model that…

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Please use SAS, if possible. Anything else is acceptable. Thanks.

Table 11.17

X1	X2	X3	X4	X5	X6	X7	X8	X9	Y
4.918	1	3.472	0.998	1	7	4	42	0	25.9
5.021	1	3.531	1.5	2	7	4	62	0	29.5
4.543	1	2.275	1.175	1	6	3	40	0	27.9
4.557	1	4.05	1.232	1	6	3	54	0	25.9
5.06	1	4.455	1.121	1	6	3	42	0	29.9
3.891	1	4.455	0.988	1	6	3	56	0	29.9
5.898	1	5.85	1.24	1	7	3	51	1	30.9
5.604	1	9.52	1.501	0	6	3	32	0	28.9
5.828	1	6.435	1.225	2	6	3	32	0	35.9
5.3	1	4.988	1.552	1	6	3	30	0	31.5
6.271	1	5.52	0.975	1	5	2	30	0	31
5.959	1	6.666	1.121	2	6	3	32	0	30.9
5.05	1	5	1.02	0	5	2	46	1	30
8.246	1.5	5.15	1.664	2	8	4	50	0	36.9
6.697	1.5	6.902	1.488	1.5	7	3	22	1	41.9
7.784	1.5	7.102	1.376	1	6	3	17	0	40.5
9.038	1	7.8	1.5	1.5	7	3	23	0	43.9
5.989	1	5.52	1.256	2	6	3	40	1	37.9
7.542	1.5	5	1.69	1	6	3	22	0	37.9
8.795	1.5	9.89	1.82	2	8	4	50	1	44.5
6.083	1.5	6.727	1.652	1	6	3	44	0	37.9
8.361	1.5	9.15	1.777	2	8	4	48	1	38.9
8.14	1	8	1.504	2	7	3	3	0	36.9
9.142	1.5	7.326	1.831	1.5	8	4	31	0	45.8

Table 11.18 List of variables for data in table 11.17

Variable	Definition
Y	Sale price of the house in thousands of dollars
X1	Taxes(local, county, school) in thousands of dollars
X2	Number of bathrooms
X3	Lot size (in thousands of square feet)
X4	Living space (in thousands of square feet)
X5	Number of garage stalls
X6	Number of rooms
X7	Number of bedrooms
X8	Age of the home (years)
X9	Number of fireplaces

a) In a fitted regression model that relates the sale price to taxes and building characteristics, would you include all the variables?

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