Explore similarities and differences between regression and t-test approaches to hypothesis testing. Transforming variables as a way of improving the regression model (in not more than 100

This assignment is based on the Nils Bakers case.

 submit a brief write-up on the below statements:

1. Exploring similarities and differences between regression and t-test approaches to hypothesis testing. (in not more than 100 words)

2. Transforming variables as a way of improving the regression model (in not more than 100 words)

3. Distinguishing between correlation and causality in the context of the regression model (in not more than 100 words)

4. Comment on "Is the presence of a physical bank branch creating the demand for checking accounts?" (in not more than 100 words)

KINDLY ALSO PERFORM Z-TEST, T-TEST, REGRESSION AND WHATEVER TEST ID REQUIRED

Title Page

This spreadsheet supports STUDENT analysis of the case “Nils Baker” (UVA-QA-0793).
This spreadsheet was prepared by Anton Ovchinnikov, Assistant Professor of Business Administration, Phillip E. Pfeifer, Richard S. Reynolds Professor of Business Administration, and Nathan Call (MBA ’08). Names and data have been disguised. Copyright © 2012 by the University of Virginia Darden School Foundation, Charlottesville, VA. All rights reserved. For customer service inquiries, send an e-mail [email protected] No part of this publication may be reproduced, stored in a retrieval system, posted to the Internet, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without the permission of the Darden School Foundation.
Aug. 7, 2012

Nils Baker data

ID Total Households in Area Households with Account Inside/Outside Footprint
1 1,772,960 17,563 Outside
2 1,345,209 14,547 Outside
3 960,434 10,847 Outside
4 928,274 18,133 Inside
5 893,995 5,291 Outside
6 812,137 6,297 Outside
7 748,942 9,195 Outside
8 722,804 8,547 Outside
9 603,903 3,725 Outside
10 595,213 3,218 Outside
11 562,390 7,621 Outside
12 542,007 11,225 Outside
13 489,865 5,735 Outside
14 440,767 5,703 Outside
15 339,224 3,474 Outside
16 332,315 5,450 Outside
17 325,698 4,777 Outside
18 287,628 1,998 Outside
19 275,046 2,937 Outside
20 254,036 4,790 Outside
21 245,942 2,172 Outside
22 227,997 8,092 Inside
23 217,511 1,761 Outside
24 202,815 2,098 Inside
25 176,018 2,163 Outside
26 170,380 1,726 Outside
27 170,222 1,273 Outside
28 158,496 2,090 Inside
29 158,489 1,066 Outside
30 154,349 1,850 Inside
31 151,797 2,283 Outside
32 146,332 5,870 Outside
33 146,119 1,921 Outside
34 142,345 3,106 Outside
35 135,681 1,376 Outside
36 133,114 1,196 Outside
37 125,420 879 Outside
38 124,506 1,178 Outside
39 124,379 2,517 Inside
40 116,390 2,938 Inside
41 105,192 642 Inside
42 100,405 2,896 Inside
43 100,089 868 Outside
44 96,897 1,866 Inside
45 89,566 2,457 Outside
46 81,025 1,013 Inside
47 77,940 1,238 Outside
48 76,094 1,183 Outside
49 69,325 702 Inside
50 67,422 362 Outside
51 63,131 486 Outside
52 55,466 360 Outside
53 52,500 462 Inside
54 52,194 668 Inside
55 51,251 356 Outside
56 49,698 510 Inside
57 49,410 804 Inside
58 48,064 769 Inside
59 47,816 467 Outside
60 47,332 314 Outside
61 44,833 545 Outside
62 44,805 280 Outside
63 44,391 282 Outside
64 43,791 295 Outside
65 43,661 275 Inside
66 43,040 817 Inside
67 40,755 435 Inside
68 40,587 330 Inside
69 40,531 333 Inside
70 39,960 277 Inside
71 39,958 411 Inside
72 39,692 472 Inside
73 38,144 350 Inside
74 37,553 376 Inside
75 37,458 198 Outside
76 36,157 365 Inside
77 36,149 1,044 Inside
78 36,008 340 Outside
79 35,222 252 Inside
80 34,366 378 Inside
81 33,678 669 Inside
82 33,240 658 Inside
83 32,453 497 Inside
84 32,420 383 Outside
85 31,943 398 Inside
86 30,731 344 Inside
87 30,560 482 Inside
88 29,560 198 Inside
89 29,077 842 Inside
90 29,034 177 Inside
91 28,341 158 Outside
92 27,735 495 Inside
93 27,012 255 Inside
94 26,547 439 Inside
95 26,384 146 Outside
96 26,220 466 Inside
97 25,748 585 Outside
98 23,764 791 Outside
99 23,522 255 Inside
100 23,435 171 Outside
101 23,217 297 Inside
102 22,696 202 Inside
103 22,018 441 Outside
104 21,122 112 Outside
105 21,025 159 Outside
106 20,900 149 Outside
107 20,880 156 Outside
108 19,259 285 Outside
109 17,121 482 Outside
110 16,200 105 Inside
111 15,699 336 Outside
112 15,341 219 Outside
113 13,002 246 Inside
114 10,731 1,466 Inside
115 9,513 137 Outside
116 9,025 338 Inside
117 8,843 42 Inside
118 8,480 284 Outside
119 5,019 87 Outside
120 1,799 13 Inside
Data source: Company documents.

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