Buad 310 Case Analysis Instruction
BUAD 310 Spring 2013 Case
Due by 4PM on Friday, May 3rd (in BRI 400C)
In this case you will apply statistical techniques learned in the Regression part of BUAD 310.
Please read the following instructions carefully before you start:
• This assignment uses data from the file MagAds13S.XLS, which you can download from Blackboard. After you download the file go to Data → Load data → from file in StatCrunch to open it (you don’t need to change any of the options when loading this data.)
• The entire report should be typed and clearly presented without typos and grammatical errors. Copy and paste the relevant (explained further in more detail) regression output into your document. Do not attach any graphs.
• You are encouraged to work in groups (maximum size is 5). Any group submits only one report, in which the first page should have all the names and USC ID of the group members. A hard copy of the report needs to be submitted (an electronic copy is NOT acceptable). Before May 3rd, you can also hand in the report during class. When I am not in my office (BRI 400C), please drop the report in the office through the gap between the door and floor.
• Very important: present the problems in exactly the same order as they are listed.
• A note to Mac user: you might need to hold “shift” when selecting variables for the X-variables with multiple linear regression in StatCrunch.
Magazine Advertising
What factors influence the price of advertisements in magazines? Suppose you are part of a team of consultants hired by a retail clothing company wishing to place advertisements in at least one magazine. They are curious about what types of costs they can expect for magazines with different readership bases so they most effectively utilize their advertising budget. Your team has collected cost data on 44 consumer magazines. In addition, your team has measured some other characteristics of the magazines and their
Due by 4PM on Friday, May 3rd (in BRI 400C)
In this case you will apply statistical techniques learned in the Regression part of BUAD 310.
Please read the following instructions carefully before you start:
• This assignment uses data from the file MagAds13S.XLS, which you can download from Blackboard. After you download the file go to Data → Load data → from file in StatCrunch to open it (you don’t need to change any of the options when loading this data.)
• The entire report should be typed and clearly presented without typos and grammatical errors. Copy and paste the relevant (explained further in more detail) regression output into your document. Do not attach any graphs.
• You are encouraged to work in groups (maximum size is 5). Any group submits only one report, in which the first page should have all the names and USC ID of the group members. A hard copy of the report needs to be submitted (an electronic copy is NOT acceptable). Before May 3rd, you can also hand in the report during class. When I am not in my office (BRI 400C), please drop the report in the office through the gap between the door and floor.
• Very important: present the problems in exactly the same order as they are listed.
• A note to Mac user: you might need to hold “shift” when selecting variables for the X-variables with multiple linear regression in StatCrunch.
Magazine Advertising
What factors influence the price of advertisements in magazines? Suppose you are part of a team of consultants hired by a retail clothing company wishing to place advertisements in at least one magazine. They are curious about what types of costs they can expect for magazines with different readership bases so they most effectively utilize their advertising budget. Your team has collected cost data on 44 consumer magazines. In addition, your team has measured some other characteristics of the magazines and their