Developing linear trend line model


Assignment:

Q1. Administrators at State University believe that decreases in the number of freshman applications that they have experienced are directly related to tuition increases. They have collected the following enrollment and tuition data for the last decade.

Year                            Freshman                                 Annual

                                    Applications                            Tuition ($)

1                                  6,050                                       3,600

2                                  4,060                                       3,600

3                                  5,200                                       4,000

4                                  4,410                                       4,400

5                                  4,380                                       4,500

6                                  4,160                                       5,700

7                                  3,560                                       6,000

8                                  2,970                                       6,000

9                                  3,280                                       7,500

10                                3,430                                       8,000

Q2. Develop a linear trend line model for the freshman applications data at State University in Q1.

a. Does this forecast appear to be more or less accurate than the linear regression forecast developed in Q1 ? Justify your answer.
b. Compute the correlation coefficient for the linear trend line forecast and explain its meaning.

Provide complete and step by step solution for the question and show calculations and use formulas.

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