The accompanying table shows the height​ (in inches) of 8 high school girls and their scores on an IQ test. Height, x IQ score, y 62 108 57 102 63 104 66 110 57 93 64 106 63 114 55 125 ​(b) Calculate the sample correlation coefficient r. ​(c) Describe the type of​ correlation, if​ any, and interpret the correlation in the context of the data. (d) Interpret the correlation. Choose the correct answer below. (e) Use the table of critical values for the Pearson correlation coefficient to make a conclusion about the correlation coefficient. Let α=0.01.

Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Marriage Equality Sushi Generation Millennials Gen X Boomers Silent/Greatest Generation 43 37 50 42 57 48 77 69 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. Oc. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of the…

A store manager wishes to find out whether there is a relationship between the age of the employees and the number of sick days they incur each year. The data for the sample are shown below. Calculate the correlation coefficient (r ) and describe the relationship in terms of strength and direction. Y X-X BAR Y-Y BAR (X-X BAR) (Y-Y BAR) (X-X BAR)? (Y-Y BAR) 16 12 18 26 39 48 53 58 INTERPRETATION: C956

find the mean if Z-score =14, st.Dev.=2.5, for a score of 8.5

If the coefficient of correlation is -0.60, then the coefficient of determination is: a. -0.60 b. -0.36 0.36 0.40 C. d.

The following graph plots data for tax per gallon and internal miles.Carefully explain what the graph is about, and what it captures.   What are the limitations of the correlation and what can a researcher do toovercome these?

Multiple Choice An instructor wants to show the students that there is a linear correlation between the number of * hours they spent watching TV during a certain weekend and their scores on a test taken the following Monday. The number of television viewing hours and the test scores for 12 randomly selected students are shown in Table 1.What is value of the correlation coefficient, r? Hours Ꮖ 0 1 3 3 5 5 5 6 7 7 10 Score y 95 68 76 65 75 50 0.84 -0.831 -0.952 O 1.0 22 96 85 82 None of these بن 74 8 ∞ 84 58

The accompanying data give the percentage of new vehicles bought with four-wheel drive, region by region for each of 48 regions in a country. The data include the average temperature in that region in January. Complete parts (a) through (d) below. E Click the icon to view the data on temperatures and percent four-wheel drive. (a) Do you expect the correlation between these variables to be positive or negative? Explain your choice. O A. The correlation should be positive, because higher temperatures in winter mean more snow and thus more need for four-wheel drive. O B. The correlation should be negative, because lower temperatures in winter mean more snow and thus more need for four-wheel drive. O C. The correlation should be positive, because higher temperatures in winter mean more snow and thus less need for four-wheel drive. O D. The correlation should be negative, because lower temperatures in winter mean more snow and thus less need for four-wheel drive. (b) Draw the associated…

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Determine the correlation coefficient for the data shown in this table:   x    1     8     8     15     14     20     y    42     38     30     20     18     11