SOLVED

21) You are an officer in your college’s Student Marketing Association. You are looking for ways to ensure that members will join again the following year. Students tend to join for one semester or one year and then drop out. You decide to take a simple random sample of this year’s members and give them a survey. One of the questions asks: “Will you join the SMA next semester?” Yes, No, Don’t Know. Another question asks respondents to “check all the following that they feel provides them with ‘value’ by virtue of being in the SMA:” free food at meetings, getting to socialize in a relaxed setting with fellow classmates, learning about businesses through the guest speaker program, getting job search information through the organization’s “Career Search” program, and getting to know your professors on a more personal basis. You want to know which one(s) of these are related to whether or not students will join the SMA in the next semester. What analysis should you run? A) pearson product moment correlation analysis B) independent samples t tests C) cross-tabulation D) cross-tabulation with chi-square tests E) paired samples tabulation analysis 22) A correlation coefficient is an index number falling between the range of: A) 0 and +1.0 B) 0 and +100 C) -1.0 and +1.0 D) -1.0 and 0 E) -100 and 0 23) Perhaps the most intuitive relationship between two metric variables is a(n): A) curvilinear relationship. B) linear relationship. C) quadratic relationship. D) multivariate relationship. E) categorical relationship. 24) Which of the following correlation coefficients would indicate a “moderate” association? A) +0.85 B) -0.85 C) -0.75 D) +0.35 E) +0.60 25) Let’s assume we find in a study that the correlation coefficient between number of years of education and cigarette smoking is -0.89. This means that as education level increases: A) smoking tends to increase. B) smoking tends to decrease. C) smoking changes 89 percent. D) smoking is nonexistent. E) only 89 out of every 100 people in the study would not smoke. 26) If we were to graph two variables, let’s say, height (in centimetres) and GPA, and the graph showed points scattered about in a formless shape, we could say there is: A) likely no significant relationship between height and GPA. B) likely a positive relationship between height and GPA. C) likely a negative relationship between height and GPA. D) a need to re-graph the data. E) likely a curvilinear relationship between height and GPA. 27) The Pearson Product Moment correlation measures the linear relationship between two: A) categoric variables. B) a categoric variable and a metric variable. C) metric-scaled variables. D) or more metric-scaled variables. E) categoric or metric variables. 28) In the straight-line formula y = a + bx, “a” represents the ___________ and “b” represents the ___________ . A) slope; intercept B) independent variable; dependent variable C) y-axis; x-axis D) angle; intercept E) intercept; slope 29) Covariation: A) indicates the degree of “freedom” between two variables. B) predicts the absolute size of the correlation coefficient. C) is useless without a correlation coefficient. D) is the amount of change in one variable systematically associated with a change in another variable. E) is illustrated by a bar chart. 30) Which of the following is NOT a caveat of correlation? A) It’s use is limited to metric variables (interval or ratio scaled). B) It examines the relationship between only two variables. C) Do not assume cause and effect. D) It is limited to linear relationships. E) It is limited to Boolean relationships.