b) The predictors whose p-values are less than 0.05 are (You may select more than one answer. Cli the correct answer and double click to empty the box for the wrong answer.) ? Freeway ? Entrance ? Floor ?Age Office

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6th Edition
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question
1
2
13
25
26
B
C
Assessed Value of Small Commercial Real Estate Buildings (n = 32, k = 5)
27
28
29
30
31
32
34
35
36
Obs Assessed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
2228788858
24
26
29
30
31
32
1796
1544
2094
1968
1567
1878
949
910
1774
1187
1113
671
1678
710
678
1585
842
1539
433
1268
1251
1094
638
999
653
1914
772
890
1282
1264
1162
1447
Floor
4790
4720
5940
5720
3660
5000
2990
2610
5650
3570
2930
1280
4880
1620
1820
4530
2570
4690
1280
4100
3530
3660
1110
2670
1100
5810
2560
2340
3690
3580
3610
3960
Offices
4
3
4
4
3
4
2
2
4
2
3
2
3
1
2
2
2
2
1
3
2
2
1
2
1
4
2
3
2
3
2
3
Entrances
2
2
2
2
2
2
1
1
2
1
2
1
2
2
1
2
1
2
1
1
2
2
2
2
1
3
2
1
2
2
1
2
Age
8
12
2
34
38
31
19
48
42
4
15
31
42
35
17
5
13
45
45
27
41
33
50
39
20
17
24
5
15
27
8
17
Freeway
0
0
0
1
1
1
0
0
0
1
1
1
1
1
1
0
0
1
0
1
0
1
1
1
0
0
0
1
0
1
0
Learning Stats
Copyright © 2019
by
The McGraw-Hill Companies
This spreadsheet is intended solely
foreducational purposes by
licensed users of Connect
Variable Names: Assessed assessed value
(thousands of dollars), Floor = square feet of
floor space, Offices = number of offices in the
building, Entrances = number of customer
entrances (excluding service doors), Age = age
of the building (years), Freeway = 1 if within one
mile of freeway, 0 otherwise.
Transcribed Image Text:1 2 13 25 26 B C Assessed Value of Small Commercial Real Estate Buildings (n = 32, k = 5) 27 28 29 30 31 32 34 35 36 Obs Assessed 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 2228788858 24 26 29 30 31 32 1796 1544 2094 1968 1567 1878 949 910 1774 1187 1113 671 1678 710 678 1585 842 1539 433 1268 1251 1094 638 999 653 1914 772 890 1282 1264 1162 1447 Floor 4790 4720 5940 5720 3660 5000 2990 2610 5650 3570 2930 1280 4880 1620 1820 4530 2570 4690 1280 4100 3530 3660 1110 2670 1100 5810 2560 2340 3690 3580 3610 3960 Offices 4 3 4 4 3 4 2 2 4 2 3 2 3 1 2 2 2 2 1 3 2 2 1 2 1 4 2 3 2 3 2 3 Entrances 2 2 2 2 2 2 1 1 2 1 2 1 2 2 1 2 1 2 1 1 2 2 2 2 1 3 2 1 2 2 1 2 Age 8 12 2 34 38 31 19 48 42 4 15 31 42 35 17 5 13 45 45 27 41 33 50 39 20 17 24 5 15 27 8 17 Freeway 0 0 0 1 1 1 0 0 0 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 1 0 1 0 Learning Stats Copyright © 2019 by The McGraw-Hill Companies This spreadsheet is intended solely foreducational purposes by licensed users of Connect Variable Names: Assessed assessed value (thousands of dollars), Floor = square feet of floor space, Offices = number of offices in the building, Entrances = number of customer entrances (excluding service doors), Age = age of the building (years), Freeway = 1 if within one mile of freeway, 0 otherwise.
3)
(b) The predictors whose p-values are less than 0.05 are (You may select more than one answer. Click the box with a check mark for
the correct answer and double click to empty the box for the wrong answer.)
? Freeway
? Entrance
? Floor
?Age
? Office
(c) The predictors that were found to have significant coefficients from the t tests are the same ones that are significant from using the
p-values.
O True
O False
(d) When checking for significance, most prefer the p-value approach because
O The p-value actually tells the strength of the significance.
O It is easier than looking up a critical value for the t statistic.
Transcribed Image Text:3) (b) The predictors whose p-values are less than 0.05 are (You may select more than one answer. Click the box with a check mark for the correct answer and double click to empty the box for the wrong answer.) ? Freeway ? Entrance ? Floor ?Age ? Office (c) The predictors that were found to have significant coefficients from the t tests are the same ones that are significant from using the p-values. O True O False (d) When checking for significance, most prefer the p-value approach because O The p-value actually tells the strength of the significance. O It is easier than looking up a critical value for the t statistic.
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