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Address Location Fair Market Value($000) Property Size (acres) Age House Size (square feet) Rooms Baths Garage 9 Sycamore Road Glen Cove 522.9 0.2297 56 2448

Address Location Fair Market Value($000) Property Size (acres) Age House Size (square feet) Rooms Baths Garage
9 Sycamore Road Glen Cove 522.9 0.2297 56 2448 7 3.5 2
21 Jefferson St Glen Cove 425.0 0.2192 61 1942 7 2.5 1
38 Hitching Post Lane Glen Cove 539.2 0.1630 39 2073 5 3 2
4 Poppy Lane Glen Cove 628.2 0.4608 28 2707 8 2.5 1
5 Daniel Drive Glen Cove 490.4 0.2549 56 2042 7 1.5 1
15 Francis Terrace Glen Cove 487.7 0.2290 98 2089 7 2 0
23 Guilfoy Street Glen Cove 370.3 0.1808 58 1433 7 2 0
17 Carlyle Drive Glen Cove 777.9 0.5015 17 2991 9 2.5 1
8 Craft Avenue Glen Cove 347.1 0.2229 62 1008 5 1 0
22 Beechwood Ct. Glen Cove 756.8 0.1300 25 3202 8 2.5 2
14 Fox Street Glen Cove 389.0 0.1763 64 2230 8 2 0
1 Raynham Road Glen Cove 889.0 1.3100 62 1848 7 2 1
2 Jerome Drive Glen Cove 452.2 0.2520 56 2100 6 2 0
7 Valentine Street Glen Cove 412.4 0.1148 22 1846 5 3 1
38 Jefferson Street Glen Cove 338.3 0.1693 74 1331 5 1 1
15 Inwood Road Glen Cove 334.3 0.1714 62 1344 8 1 0
29 Meadowfield Lane Glen Cove 437.4 0.3849 54 1822 6 2 1
13 Westland Drive Glen Cove 644.0 0.6545 56 2479 6 2.5 2
79 Valentine Street Glen Cove 387.8 0.1722 62 1605 6 3 0
13 Fairmont Place Glen Cove 399.8 0.1435 88 2080 11 2 0
1 Prestwick Terrace Glen Cove 356.4 0.2755 81 2410 6 1 1
11 Clement Street Glen Cove 346.9 0.1148 107 1753 8 2 0
7 Woodland Road Glen Cove 541.8 0.3636 55 1884 7 2 2
36 Elm Avenue Glen Cove 388.0 0.1474 51 2050 10 2 2
17 Duke Place Glen Cove 564.0 0.2281 50 2978 6 2.5 2
12 Prospect Avenue Glen Cove 454.4 0.4626 92 2132 7 1 0
1 Buckeye Road Glen Cove 417.3 0.1889 64 1551 6 2 0
30 Ann Street Glen Cove 318.8 0.1228 54 1129 5 1 0
26 Broadfield Place Glen Cove 519.8 0.1492 44 1674 7 2 1
16 Jackson Street Glen Cove 310.2 0.0852 104 1184 5 1 0
182 Village Road Roslyn 697.4 0.2828 2194 54 7 2.5 1
108 Burnham Avenue Roslyn 681.8 0.1148 3032 74 8 2.5 1
143 Powerhouse Road Roslyn 523.9 0.2169 1970 23 6 3 2
55 Hummingbird Drive Roslyn 1116.2 0.3761 3356 41 9 4.5 1
40 Maple Street Roslyn 506.8 0.1359 2070 31 10 2 1
47 magnolia lane Roslyn 820.0 0.2427 2826 54 8 2 1
35 harding Avenue Roslyn 491.2 0.154 1606 76 9 2 0
100 Crescent lane Roslyn 740.3 0.2348 2063 54 6 2.5 1
222 Garden Street Roslyn 335.5 0.2217 1392 85 7 1 0
6 Church Street Roslyn 407.4 0.175 1120 19 6 1.5 0
12 Ridge Drive Roslyn 392.8 0.213 1817 51 6 2 0
24 Madison Place Roslyn 474.2 0.1377 2496 44 7 2 1
18 Rockhill Road Roslyn 535.7 0.2497 1615 52 7 2 1
65 Elm Drive Roslyn 480.4 0.1492 1788 45 8 4 1
30 Wren Drive Roslyn 1140.4 0.3372 3130 37 8 3 1
54 Lambert Street Roslyn 452.1 0.1503 1423 88 6 2 0
38 Magnolia lane Roslyn 941.8 0.2348 2990 54 8 3 1
75 Burnham Avenue Roslyn 623.8 0.1148 2936 22 8 2.5 1
19 Oxford Street Roslyn 409.6 0.1377 1439 53 7 1 1
215 Elm Drive Roslyn 1879.8 0.456 5602 43 9 4 2
34 The Oaks Roslyn 936.0 0.5563 2191 65 8 3 1
2 Circle lane Roslyn 843.8 0.2778 2798 54 7 2.5 1
70 Rugby Road Roslyn 700.3 0.2775 2070 52 6 2 1
150 Warner Avenue Roslyn 516.6 0.2296 2710 104 7 2.5 0
31 West Court Roslyn 488.0 0.1377 1416 65 7 1.5 1
7 The Locusts Roslyn 885.9 0.2116 3244 72 6 2 0
65 Starling Court Roslyn 872.7 0.3535 2493 36 6 3 2
106 Barberry lane Roslyn 963.6 0.2348 3335 54 6 2.5 1
17 South Drive Roslyn 614.3 0.3329 1968 49 6 2 1
8 Woodland Road Roslyn 940.7 0.3606 3136 34 9 3.5 1

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Referring to Table 6, remove the outliers and rerun the model. I will refer to this as model2. How would you describe model2's R squared adjusted? Low and good Low and bad High and good High and bad Referring to Table 6 and model2, if we start backwards regression, what is the p-value of the first variable to be removed? Referring to Table 6 and model2, if we start backwards regression, what is the p-value of the second variable to be removed? Referring to Table 6 and model2, if you finish backwards regression at an alpha = 0.05 level, how many Betas will be in the null hypothesis to test the final model's significance as a whole? Referring to Table 6 and the final model after backwards regression, what is the decision about the significance of the model? We do Reject Ho. We do have evidence that at least 1 X variable is a significant predictor of the houses' fair market value. We do Reject Ho. We do have evidence that 1 X variable is a significant predictor of the houses' fair market value. We do not Reject Ho. We do not have evidence that at least 1 X variable is a significant predictor of the houses' fair market value. We do not Reject Ho. We do not have evidence that 1 X variable is a significant predictor of the houses' fair market value. Referring to Table 6, remove the outliers and rerun the model. I will refer to this as model2. How would you describe model2's R squared adjusted? Low and good Low and bad High and good High and bad Referring to Table 6 and model2, if we start backwards regression, what is the p-value of the first variable to be removed? Referring to Table 6 and model2, if we start backwards regression, what is the p-value of the second variable to be removed? Referring to Table 6 and model2, if you finish backwards regression at an alpha = 0.05 level, how many Betas will be in the null hypothesis to test the final model's significance as a whole? Referring to Table 6 and the final model after backwards regression, what is the decision about the significance of the model? We do Reject Ho. We do have evidence that at least 1 X variable is a significant predictor of the houses' fair market value. We do Reject Ho. We do have evidence that 1 X variable is a significant predictor of the houses' fair market value. We do not Reject Ho. We do not have evidence that at least 1 X variable is a significant predictor of the houses' fair market value. We do not Reject Ho. We do not have evidence that 1 X variable is a significant predictor of the houses' fair market value

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