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This assignment requires you to use Excel; make sure you also

Question # 00006320
Subject: Statistics
Due on: 01/31/2014
Posted On: 01/08/2014 11:59 PM

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This assignment requires you to use Excel; make sure you also


This assignment requires you to use Excel; make sure you also submit the Excel file to show your work. Place all calculations for each of the questions on a separate
worksheet. Then, using the results of your work from Excel, prepare PowerPoint slides to answer the questions in a presentation format. Search the Internet to ensure that you are using the best PowerPoint tips to display an appropriate presentation.

The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring stars makes a difference and the impact of fact based programming compared to hiring stars. You will create a PowerPoint presentation to answer the questions below. Remember that your audience is the management of CBC: Make sure your presentation is professional and provides sufficient explanation.

1. Descriptive statistics:

What is the average rating for all CBC movies? How about ABN movies and BBS movies?
Include a table that shows the average and the other descriptive statistics for the ratings of the three networks (one column for each network). Comment on which network is doing best and what you learn from the other key metrics in the table.

2. Charting:

Create a line graph of the monthly average ratings for CBC for the year. Note that there are multiple ratings data for the months; you will need to calculate an average for each month and then plot the averages. After you create the graph, fit a linear trend line, displaying the formula and the r-squared. Explain to the executives if you can use this time series data to forecast the ratings of upcoming months. How accurate can you expect this forecast to be?

3. Hypothesis testing :

Should the CBC hire stars for their movies? To answer this question, run a hypothesis test to see if there is a significant difference between the ratings of movies with stars vs. movies without stars. Use the data for CBC movies only. Use 95% confidence. Explain your answer- do not simply say yes or no without referring to the relevant figures.

4. Regression:

CBC Management has several questions: Which has more impact on a movie’s rating: that it is fact based or that it has one star? How much does each of these factors change the ratings? Do you expect a fact based movie that does not have any stars to get better ratings than a fiction movie with one star? Run a multiple regression where the dependent variable is ratings and the independent variables are star and fact. Use data from all networks, not just CBC movies. How well does this regression analysis explain the ratings? Justify your answers based on the results.

Here is the provided chart
Exhibit 1 Data on 1992 TV Movies

Observation Network Month Day Rating Fact Stars Previous Ratings Competition
1 BBS 1 1 15.6 0 1 14.2 14.5
2 BBS 1 7 10.8 1 0 15.3 17.2
3 BBS 1 7 14.1 0 1 13.8 14.4
4 BBS 1 1 16.8 1 1 12.8 15.3
5 BBS 2 1 14.3 1 1 12.4 13.3
6 BBS 2 1 17.1 1 1 12.9 15.1
7 BBS 3 1 8.9 0 0 10.8 14.9
8 BBS 3 7 16.2 1 0 13.3 11.6
9 BBS 4 7 9.4 0 1 12.3 12.8
10 BBS 5 1 10.2 0 1 10.7 15.6
11 BBS 5 7 9.4 0 0 10.7 14.5
12 BBS 5 1 12.1 0 1 10.1 15.6
13 BBS 5 1 10.7 1 0 8.6 17
14 BBS 9 7 15 1 0 9.8 8.2
15 BBS 9 7 10.2 0 0 11.7 13.5
16 BBS 9 7 10.3 0 1 10.1 15.2
17 BBS 10 7 10.8 0 1 10.9 13.1
18 BBS 10 7 14.4 1 0 15.9 12.6
19 BBS 11 7 14.4 1 1 12.1 14.2
20 BBS 11 7 13.6 1 0 11.4 11.9
21 ABN 1 7 14.6 0 0 19.3 14.4
22 ABN 1 2 10.8 0 1 16.3 15.2
23 ABN 1 7 16.2 0 0 20.1 14.4
24 ABN 1 2 12.8 0 0 14.8 13.1
25 ABN 1 7 16 0 1 19.3 13.5
26 ABN 2 7 18.9 0 1 17.8 13
27 ABN 2 2 14 1 1 14.3 13.8
28 ABN 3 7 19.5 1 1 16.2 11.8
29 ABN 3 2 14.7 1 0 13.8 15.7
30 ABN 3 7 16.3 0 1 18 11.4
31 ABN 3 7 15.8 1 0 17.7 13.3
32 ABN 3 7 17.1 0 1 17.1 11.3
33 ABN 3 2 11.5 0 0 13.8 13.1
34 ABN 3 7 16 1 0 15.3 11.8
35 ABN 3 2 11.7 0 1 16.6 14.3
36 ABN 4 2 14.2 0 0 13.6 11.4
37 ABN 4 7 11.2 0 0 14.3 14.4
38 ABN 4 2 10.9 0 0 12.4 13
39 ABN 4 7 13.3 0 1 13.1 10.1
40 ABN 4 7 15.5 1 0 17 12.4
41 ABN 4 2 16.6 1 0 13.6 11.8
42 ABN 5 7 16.3 1 0 16.5 12.8
43 ABN 5 7 15.8 0 1 15.7 11.3
44 ABN 5 2 13.3 1 0 10.7 12.8
45 ABN 9 7 15.4 0 1 17.3 10.9
46 ABN 9 2 14.7 0 0 15.5 13.9
47 ABN 9 7 15.5 0 0 17.4 12.6
48 ABN 9 2 14.7 1 0 15.3 14
49 ABN 10 7 15.9 1 0 18.4 10.5
50 ABN 10 7 13.8 1 0 24.7 12.1
51 ABN 10 2 10 0 1 14.2 12.9
52 ABN 11 7 12.9 0 1 16.9 18.6
53 ABN 11 2 15.4 1 0 15.9 12.4
54 ABN 11 7 14.5 0 2 19.4 14.2
55 ABN 12 7 18.8 0 2 16.7 14.7
56 ABN 12 2 16.7 0 0 14.9 10.1
57 ABN 12 2 12.8 0 0 16.3 12
58 ABN 12 7 16.8 0 1 15.7 10.1
59 CBC 1 7 14 0 1 8.2 14.8
60 CBC 1 1 11.3 1 0 13 13.2
61 CBC 1 1 13.6 0 0 13.7 15.1
62 CBC 2 7 12.9 1 0 8.8 16
63 CBC 2 1 13.2 1 0 13.1 17
64 CBC 2 7 16 1 0 6.9 15.8
65 CBC 2 1 14


ObservationNetworkMonthDayRatingFactStarsPrevious RatingsCompetition
1BBS1115.60114.214.5
2BBS1710.81015.317.2
3BBS1714.10113.814.4
4BBS1116.81112.815.3
5BBS2114.31112.413.3
6BBS2117.11112.915.1
7BBS318.90010.814.9
8BBS3716.21013.311.6
9BBS479.40112.312.8
10BBS5110.20110.715.6
11BBS579.40010.714.5
12BBS5112.10110.115.6
13BBS5110.7108.617
14BBS9715109.88.2
15BBS9710.20011.713.5
16BBS9710.30110.115.2
17BBS10710.80110.913.1
18BBS10714.41015.912.6
19BBS11714.41112.114.2
20BBS11713.61011.411.9
21ABN1714.60019.314.4
22ABN1210.80116.315.2
23ABN1716.20020.114.4
24ABN1212.80014.813.1
25ABN17160119.313.5
26ABN2718.90117.813
27ABN22141114.313.8
28ABN3719.51116.211.8
29ABN3214.71013.815.7
30ABN3716.3011811.4
31ABN3715.81017.713.3
32ABN3717.10117.111.3
33ABN3211.50013.813.1
34ABN37161015.311.8
35ABN3211.70116.614.3
36ABN4214.20013.611.4
37ABN4711.20014.314.4
38ABN4210.90012.413
39ABN4713.30113.110.1
40ABN4715.5101712.4
41ABN4216.61013.611.8
42ABN5716.31016.512.8
43ABN5715.80115.711.3
44ABN5213.31010.712.8
45ABN9715.40117.310.9
46ABN9214.70015.513.9
47ABN9715.50017.412.6
48ABN9214.71015.314
49ABN10715.91018.410.5
50ABN10713.81024.712.1
51ABN102100114.212.9
52ABN11712.90116.918.6
53ABN11215.41015.912.4
54ABN11714.50219.414.2
55ABN12718.80216.714.7
56ABN12216.70014.910.1
57ABN12212.80016.312
58ABN12716.80115.710.1
59CBC1714018.214.8
60CBC1111.3101313.2
61CBC1113.60013.715.1
62CBC2712.9108.816
63CBC2113.21013.117
64CBC2716106.915.8
65CBC2114.61113.817.4
66CBC2716.60116.814.4
67CBC3117.51014.814.2
68CBC3711.6001014
69CBC478.9008.613
70CBC4115.60013.316.8
71CBC479.2016.812.1
72CBC4111.80012.912
73CBC4711005.314.7
74CBC419.5101317.3
75CBC9711.60010.112.8
76CBC9113.31013.120.3
77CBC9113.61014.118.3
78CBC10112.40013.620.2
79CBC10113.81010.216.6
80CBC10711.91011.812.2
81CBC10114.60014.914.9
82CBC11115.81113.417.2
83CBC11115.40113.616.8
84CBC11112.80012.714.6
85CBC12712.8001218.6
86CBC12115.10014.115.5
87CBC12111.40111.216.4
88CBC12119.11012.6

Tags sure make excel requires aignment ratings movies stars fact data answer based average questions excel months sure network create make rating presentation regreion does explain star powerpoint networks aignment impact descriptive difference line movie forecast

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