Develop a linear trend line model for the freshman applications data at State University in Problem 33.
Question:
a. Does this forecast appear to be more or less accurate than the linear regression forecast developed in Problem 33 Justify your answer.
b. Compute the correlation coefficient for the linear trend line forecast and explain its meaning.
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Linear Trend Line Year Applications Forecast 1 6050 532164 2 4060 5...View the full answer
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