Statistics Project

Introduction

The purpose of this paper is analyzing the relationship between the Weekend Gross revenue collected by a movie (during the weekend starting at Dec 14 ^th 2012) and the number of theaters playing the movie.

In this case, the independent variable is the number of theaters playing a movie during the weekend. This number includes all the theaters in the U.S. The dependent variable corresponds to the gross revenue collected that weekend (this amount is expressed in dollars).

The following linear model will be attempted

and we are interested in testing

& {{H}_{0}}:{{\beta }_{1}}=0 \\

& {{H}_{A}}:{{\beta }_{1}}\ne 0 \\

\end{aligned}\]

We expect that \({{\beta }_{1}}>0\). In fact, we expect that the higher number of theaters, the higher weekend revenue. Of course, there could be other factors affecting the weekend revenue, such as movie appealing, advertising expenditure, etc.

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Solution: The downloadable solution consists of 12 pages, 426 words and 15 charts.
Deliverable: Word Document