Reference no: EM13707843

Movie Budgets. How does the cost of a movie depend on its length? Data on the cost (millions of dollars) and the running time (minutes) for 29 films of 2005 are provided in the SPSS data set called Movie_budgets.sav (found on your class site).


a. The variable Run time (in minutes) is considered a(n) _________________ variable, while the variable Budget (millions $) is considered a(n) _______________ variable.

i. Run time = Explanatory, Budget = Response
ii. Run time = Response, Budget = Explanatory
(1 pts)

b. The first step is to examine the relationship graphically. Use SPSS (Graph > Legacy > Scatterplot) to create and upload the appropriate scatterplot. Be sure to give your graph an appropriate title and your name.
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c. Which of the following is the most appropriate description of the form, direction, strength, and deviations for this relationship based on the scatterplot? (select one)

i. Moderately strong, positive (or direct) linear relationship, with no apparent outliers.
ii. Practically no linear relationship, with many apparent outliers.
iii. Strong negative (or indirect) linear relationship, with no apparent outliers.
iv. Moderately strong linear relationship, with no apparent outliers.

d. Use SPSS to generate the linear regression output (Analyze > Regression > linear). Upload the Model Summary portion of the output (save as an image and upload or copy and paste the table into the answer box), and then report the value of the correlation between Budget and length of the movie.
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e. From the same SPSS linear regression output, next upload the table containing the regression Coefficients, and then report the least squares equation for predicting Budget from movie length.

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h. One of the movies reported a Run_time of 81 minutes and a Budget of $30,000,000 (that is, 30 Million dollars). Give the predicted budget for a movie of this length, and then report the residual for this movie. Show your work and include your units.