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1. If you have the following results for a study as shown in the table below, write an analysis of the table and of the inferential test result. Your answer should not be less than three sentences. (6 pts)

Distribution of Buyers by Purchase of X Good According to Card Membership

Are you a Card Member?	Frequency	Mean
Yes	178	1.9
No	104	1.94

t _computed = -1.118 Sig. (2-tailed) = 0.265

Note:

Research is about the buyers who reported being a Card member compared to those that were not Card Members in relation to the number of times the buyer had purchased X good.

2. From the data given below, generate the descriptive statistics for the Total Sales Persons per 100,000 population and for Sales per 100,000 population. Screenshot and paste the results in your answer sheet and answer the following questions after the table:

Selected States	Unemployment Rate	Total Sales Persons/ 100,000 Population	Sales/ 100,000 Population
1	9.1	235.7	99.6
2	7.9	171.79	83.6
3	9.6	199.94	108.5
4	7.9	211.94	81.3
5	12.5	245.97	156
6	8.9	229.52	62.3
7	9	241.15	99.4
8	8.5	258.81	203.7
9	12	247.31	138.7
10	10.4	284.5	127.7
11	6.3	216.64	77.5
12	9.7	178.47	13.7
13	9.2	277.99	156.3
14	9.5	180.6	95.9
15	6.1	174.52	33.2
16	6.8	269.07	54.1
17	10.3	196.43	86.1

3.1 What measure of central tendency should you highlight for Total Sales Persons/100,000 population and Sales /100,000 population? (7 pts)

3.2 Which between the two variables in 3.1 has a better dispersion? Why? (7 pts)

4. If the Null Hypothesis states that: There is no significant relationship between the Total Sales Persons/100,000 population and Sales/100,000 population

Required:

4.1 Use Pearson Product Moment Correlation Analysis for the two variables stated in the null hypothesis and show the resulting correlation coefficient? (5 pts)

4.2 Interpret the meaning of the resulting value? (7 pts)

4.2 Use simple regression analysis to explain the relationship. Do you reject the null hypothesis? Why? (5 pts)

4.3 Is the regression result good? Justify your answer. (10 pts)

4.4 What is the resulting regression equation? How much is the predicted change in sales for a unit increase in the Total Sales Persons? (7 pts)