Given below are the numbers of indoor movie theaters, listed in order by row for each year. Use the given data to construct a time-series graph. What is the trend? How does this trend compare to the trend for drive-in movie theaters? Click the icon to view the indoor movie theater data. Construct a time-series graph with the year on the horizontal axis and the number of theaters on the vertical axis. OA. OB. 36000 32000 28000 24000 20000 synorsing kepanjanje-> 0481 4 8 1216 Q Q 36000 32000 28000- 24000 20000 Q Q 0481216 What is the trend? How does this trend compare to the trend for drive-in movie theaters? OA. There appears to be an downward trend, similar to drive-in movie theaters, which also have a downward trend. OB. There appears to be an upward trend, unlike drive-in movie theaters, which have a downward trend. OC. There appears to be an upward then downward trend, unlike drive-in movie theaters, which only have a downward trend. OC. 36000 32000 28000 24000 20000 0481216 Q Indoor Movie Theater Data Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 O D. 36000 32000 28000 24000 20000 Number of Indoor Theaters 20.595 20,201 21,907 22,353 0481216 23,740 25,722 24,789 26,418 26,995 29,065 31,050 31,778 36,448 33,373 34,490 36.664 35,361 Q 2000

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter7: Percents
Section7.2: Percents And Proportions
Problem 18E
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Given below are the numbers of indoor movie theaters, listed in order by row for each year. Use the given data to construct a time-series graph. What is the trend? How does this trend compare to
the trend for drive-in movie theaters?
Click the icon to view the indoor movie theater data.
Construct a time-series graph with the year on the horizontal axis and the number of theaters on the vertical axis.
O A.
O B.
36000-
32000-
Z
280001
24000
20000-
0 4 8 1216
Q
36000
32000-
28000
24000
20000
0 4 8 1216
O
What is the trend? How does this trend compare to the trend for drive-in movie theaters?
O A. There appears to be an downward trend, similar to drive-in movie theaters, which also have a downward trend.
O B. There appears to be an upward trend, unlike drive-in movie theaters, which have a downward trend.
O C. There appears to be an upward then downward trend, unlike drive-in movie theaters, which only have a downward trend.
C
O C.
36000
32000-
28000-
24000
20000-
0 4 8 1216
Q
Indoor Movie Theater Data
Year
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
O D.
36000
32000-
28000-
24000
20000-
Number of Indoor Theaters
20,595
20,201
21,907
22,353
23,740
25,722
24,789
26,418
26,995
29,065
31,050
31,778
36,448
W
0 4 8 1216
33,373
34,490
36,664
35,361
Q
X
Number of Live-in Movie Themens
3000
2000
1000
0
Year
Transcribed Image Text:Given below are the numbers of indoor movie theaters, listed in order by row for each year. Use the given data to construct a time-series graph. What is the trend? How does this trend compare to the trend for drive-in movie theaters? Click the icon to view the indoor movie theater data. Construct a time-series graph with the year on the horizontal axis and the number of theaters on the vertical axis. O A. O B. 36000- 32000- Z 280001 24000 20000- 0 4 8 1216 Q 36000 32000- 28000 24000 20000 0 4 8 1216 O What is the trend? How does this trend compare to the trend for drive-in movie theaters? O A. There appears to be an downward trend, similar to drive-in movie theaters, which also have a downward trend. O B. There appears to be an upward trend, unlike drive-in movie theaters, which have a downward trend. O C. There appears to be an upward then downward trend, unlike drive-in movie theaters, which only have a downward trend. C O C. 36000 32000- 28000- 24000 20000- 0 4 8 1216 Q Indoor Movie Theater Data Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 O D. 36000 32000- 28000- 24000 20000- Number of Indoor Theaters 20,595 20,201 21,907 22,353 23,740 25,722 24,789 26,418 26,995 29,065 31,050 31,778 36,448 W 0 4 8 1216 33,373 34,490 36,664 35,361 Q X Number of Live-in Movie Themens 3000 2000 1000 0 Year
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