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Quiz_4_ - what kind of correlation should we expect between...

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QUIZ #4  Spring 2001  SI NAME__________________________                    # 1. Calculate the Pearson r for the following set of data: X Y 7 20 5 12 4 14 4 11 3 10 2 14 N =  _____ SSx =  ______ SSY =  ______ r =  ______ 2. If the correlation between Hours Spent Studying statistics in a semester correlates . 70 with Final Course Grade in statistics, what percent of the variability in final grades is accounted for by the number of hours spent studying statistics ? 3. A correlation has two qualities. They are _______________ and ________________ 4. Professor Smith measures the weight(X) and the tempers(Y) of a large group of subjects. He constructs a scatter plot which reveals a circular scatter of points with no particular slope. This means that 5. Thinking about restricted range,
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Unformatted text preview: what kind of correlation should we expect between height and weight among the members of a professional male basketball team if they are all tall (77 to 81 inches)? a. a strong positive correlation b. a weak positive correlation c. a weak negative correlation d. a strong negative correlation 6. Why is it always a good idea to look at the scatter plot prior to calculating a Pearson's correlation ? a. to see if there is a strong relationship between the variables b. to see if the relationship is linear c. to see if there are unusual cases that have too much influence d. to see if the slope is positive or negative e both a and d f. both b and c 7. Which of the following is the strongest correlation ? a. +0.2 b.- 0.30 c. 0.0 d. +0.4 e- 0.5 8. If you want to look for a relationship between students' class rank and their performances on a national standardized test, which is the best coefficient to use? a. Pearson b. Spearman c. phi d. biserial...
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  • Spring '08
  • Winters
  • Psychology, Correlation and dependence, Pearson product-moment correlation coefficient, Spearman's rank correlation coefficient, weak negative correlation, strong negative correlation, weak positive correlation

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