Give an example, other than those presented in this section, of a a. qualitative variable.b. discrete, quantitative variable.c. continuous, quantitative variable.

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Judge and Cable (2010) reported the results of a study demonstrating a negative relationship between weight and income for a group of women professionals. To simply the weight variable, the women are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000.   Weight (X) Income (Y) 1 125 2 78 4 49 3 63 5 35 2 84 5 38 3 51 1 93 4 44 b.  Compute the Pearson correlation for these data. c.  What percentage of variance for the income is predicted from the weight for the women group?

Identify whether the following variables are qualitative or quantitative. If it is quantitative, determine if it is discrete or continuous. Age of college freshmen in Letran. Answer: ________________________________ The number of cars that arrive at a McDonald’s drive–through between 12:00PM and 1:00PM. Answer: ________________________________ The prevalent skin color of Filipinos is known. Answer: ________________________________ The freshmen college students came from either public or private schools. Answer: ________________________________ The boy’s weight is 120.5. Answer: ________________________________   For each of the following variables, determine the level of measurement. ___________ 1. Gender ___________ 2. Room Temperature ___________ 3. Percentile rank in NSAT ___________ 4. Weights of students in a first-year course ___________ 5. Results of a nationally administered test.   Answer the following problem: The heights of Sydney, Ada, and Ria were 155cm, 158cm…