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September 27, 2022

For this assignment, you may need to use SPSS or SPSS Modeler. If can be done in just Excel, use that. There are many variables that impact the price of a house in any area. The goal

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For this assignment, you may need to use SPSS or SPSS Modeler. If can be done in just Excel, use that.

There are many variables that impact the price of a house in any area. The goal of this project is to see the relationship of the dependent variables on one or several independent variables. Use the Excel sheet below to answer the following questions:

1. Determine if the response and term is statistically significant at 0.05? Explain.

2. Does the model fit the data? Goodness of fit for example. Explain.

3. Does the model meet assumptions of the analysis? Residual plots. Explain.

4. What does all this information tell you? Did you need to clean data due to outliers? Provide an in-depth response to the information you gathered.

5. Make sure you provide figures and charts. This paper should be 4 to 6 pages of written information.

Need 5 – 7 pages of content + graphs/charts/figures. APA formatted. Atleast 6 peer reviews citations.

  • attachment

    Sample_data_modeller.xlsx

Sheet1

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For the Section 4 Discussion Board, I would like you to go back to the pdf on Theme in the Section 1 folder. ?After you have reacquainted yourself with the terminology discussed ther For this Discussion, interact in a free-flowing discussion of the ?biblical and constitutional parameters for the particular policy focus ?being discussed this module. In other words

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No transaction date house age distance to the nearest MRT station number of convenience stores latitude longitude house price of unit area
1 2012.917 32 84.87882 10 24.98298 121.54024 37.9
2 2012.917 19.5 306.5947 9 24.98034 121.53951 42.2
3 2013.583 13.3 561.9845 5 24.98746 121.54391 47.3
4 2013.5 13.3 561.9845 5 24.98746 121.54391 54.8
5 2012.833 5 390.5684 5 24.97937 121.54245 43.1
6 2012.667 7.1 2175.03 3 24.96305 121.51254 32.1
7 2012.667 34.5 623.4731 7 24.97933 121.53642 40.3
8 2013.417 20.3 287.6025 6 24.98042 121.54228 46.7
9 2013.5 31.7 5512.038 1 24.95095 121.48458 18.8
10 2013.417 17.9 1783.18 3 24.96731 121.51486 22.1
11 2013.083 34.8 405.2134 1 24.97349 121.53372 41.4
12 2013.333 6.3 90.45606 9 24.97433 121.5431 58.1
13 2012.917 13 492.2313 5 24.96515 121.53737 39.3
14 2012.667 20.4 2469.645 4 24.96108 121.51046 23.8
15 2013.5 13.2 1164.838 4 24.99156 121.53406 34.3
16 2013.583 35.7 579.2083 2 24.9824 121.54619 50.5
17 2013.25 0 292.9978 6 24.97744 121.54458 70.1
18 2012.75 17.7 350.8515 1 24.97544 121.53119 37.4
19 2013.417 16.9 368.1363 8 24.9675 121.54451 42.3
20 2012.667 1.5 23.38284 7 24.96772 121.54102 47.7
21 2013.417 4.5 2275.877 3 24.96314 121.51151 29.3
22 2013.417 10.5 279.1726 7 24.97528 121.54541 51.6
23 2012.917 14.7 1360.139 1 24.95204 121.54842 24.6
24 2013.083 10.1 279.1726 7 24.97528 121.54541 47.9
25 2013 39.6 480.6977 4 24.97353 121.53885 38.8
26 2013.083 29.3 1487.868 2 24.97542 121.51726 27
27 2012.667 3.1 383.8624 5 24.98085 121.54391 56.2
28 2013.25 10.4 276.449 5 24.95593 121.53913 33.6
29 2013.5 19.2 557.478 4 24.97419 121.53797 47
30 2013.083 7.1 451.2438 5 24.97563 121.54694 57.1
31 2013.5 25.9 4519.69 0 24.94826 121.49587 22.1
32 2012.75 29.6 769.4034 7 24.98281 121.53408 25
33 2012.75 37.9 488.5727 1 24.97349 121.53451 34.2
34 2013.25 16.5 323.655 6 24.97841 121.54281 49.3
35 2012.75 15.4 205.367 7 24.98419 121.54243 55.1
36 2013.5 13.9 4079.418 0 25.01459 121.51816 27.3
37 2012.917 14.7 1935.009 2 24.96386 121.51458 22.9
38 2013.167 12 1360.139 1 24.95204 121.54842 25.3
39 2012.667 3.1 577.9615 6 24.97201 121.54722 47.7
40 2013.167 16.2 289.3248 5 24.98203 121.54348 46.2
41 2013 13.6 4082.015 0 24.94155 121.50381 15.9
42 2013.5 16.8 4066.587 0 24.94297 121.50342 18.2
43 2013.417 36.1 519.4617 5 24.96305 121.53758 34.7
44 2012.75 34.4 512.7871 6 24.98748 121.54301 34.1
45 2013.583 2.7 533.4762 4 24.97445 121.54765 53.9
46 2013.083 36.6 488.8193 8 24.97015 121.54494 38.3
47 2013.417 21.7 463.9623 9 24.9703 121.54458 42
48 2013.583 35.9 640.7391 3 24.97563 121.53715 61.5
49 2013.417 24.2 4605.749 0 24.94684 121.49578 13.4
50 2012.667 29.4 4510.359 1 24.94925 121.49542 13.2
51 2013.417 21.7 512.5487 4 24.974 121.53842 44.2
52 2013.083 31.3 1758.406 1 24.95402 121.55282 20.7
53 2013.583 32.1 1438.579 3 24.97419 121.5175 27
54 2013.083 13.3 492.2313 5 24.96515 121.53737 38.9
55 2013.083 16.1 289.3248 5 24.98203 121.54348 51.7
56 2012.833 31.7 1160.632 0 24.94968 121.53009 13.7
57 2013.417 33.6 371.2495 8 24.97254 121.54059 41.9
58 2012.917 3.5 56.47425 7 24.95744 121.53711 53.5
59 2013.5 30.3 4510.359 1 24.94925 121.49542 22.6
60 2013.083 13.3 336.0532 5 24.95776 121.53438 42.4
61 2013.417 11 1931.207 2 24.96365 121.51471 21.3
62 2013.5 5.3 259.6607 6 24.97585 121.54516 63.2
63 2012.917 17.2 2175.877 3 24.96303 121.51254 27.7
64 2013.583 2.6 533.4762 4 24.97445 121.54765 55
65 2013.333 17.5 995.7554 0 24.96305 121.54915 25.3
66 2013.417 40.1 123.7429 8 24.97635 121.54329 44.3
67 2013 1 193.5845 6 24.96571 121.54089 50.7
68 2013.5 8.5 104.8101 5 24.96674 121.54067 56.8
69 2013.417 30.4 464.223 6 24.97964 121.53805 36.2
70 2012.833 12.5 561.9845 5 24.98746 121.54391 42
71 2013.583 6.6 90.45606 9 24.97433 121.5431 59
72 2013.083 35.5 640.7391 3 24.97563 121.53715 40.8
73 2013.583 32.5 424.5442 8 24.97587 121.53913 36.3
74 2013.167 13.8 4082.015 0 24.94155 121.50381 20
75 2012.917 6.8 379.5575 10 24.98343 121.53762 54.4
76 2013.5 12.3 1360.139 1 24.95204 121.54842 29.5
77 2013.583 35.9 616.4004 3 24.97723 121.53767 36.8
78 2012.833 20.5 2185.128 3 24.96322 121.51237 25.6
79 2012.917 38.2 552.4371 2 24.97598 121.53381 29.8
80 2013 18 1414.837 1 24.95182 121.54887 26.5
81 2013.5 11.8 533.4762 4 24.97445 121.54765 40.3
82 2013 30.8 377.7956 6 24.96427 121.53964 36.8
83 2013.083 13.2 150.9347 7 24.96725 121.54252 48.1
84 2012.917 25.3 2707.392 3 24.96056 121.50831 17.7
85 2013.083 15.1 383.2805 7 24.96735 121.54464 43.7
86 2012.75 0 338.9679 9 24.96853 121.54413 50.8