Question: Develop a linear trend line model for the first-year applications data at the university in Problem 12-32. a. Does this forecast appear to be more
a. Does this forecast appear to be more or less accurate than the linear regression forecast developed in Problem 12-32? Justify your answer.
b. Compute the correlation coefficient for the linear trend line forecast and explain its meaning.
Problem 12-32
The registrar at a local university believes that decreases in the number of first-year applications that have been experienced are directly related to tuition increases. They have collected the following enrollment and tuition data for the past decade:

First-Year Annual Year Applications Tuition ($) 6010 3600 5560 3600 6100 4000 5330 4400 5 4980 4500 5870 5700 7 5120 6000 4750 6000 9. 4615 7500 4100 10 8000 3. 4)
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