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# STATS 1000 Statistical Practice I

## Question:

Can you use the annual revenues generated by European soccer Teams to predict franchise values?
Part A: Annual Revenues and Franchise Values.
(a)Construct a scatter plot. (Comment on your graph.)
(b)Assuming a linear cost relationship, state the regression coefficients bo and b1. (Include your Excel output.)
(c)Interpret the meaning of the Y intercept, bo, and the slope, b1, in this problem.
(d)Write down the simple linear regression equation, and predict the value of a Soccer Franchise that generates \$150 million of annual revenue.
(e)Compute the coefficient of determination, r2, and interpret it’s meaning.
Part B: Annual Revenues and Franchise Values.
Perform a residual analysis for this data. Evaluate whether the assumptions of regression (L.I.N.E.) have been seriously violated.
Included in this evaluation, you will need to use Excel to create:
a residual plot, and comment on the plot,
a histogram (of residuals) and comment on the histogram,
a boxplot (of residuals) and 5 number summary, and comment on the boxplot, and
a normal probability plot (of residuals) and comment on the plot.

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