document.write( "Question 1049220: Examining Relationships \r
\n" ); document.write( "\n" ); document.write( "Question 3
\n" ); document.write( "Select one answer.
\n" ); document.write( "10 points
\n" ); document.write( "If there is no relationship (linear or otherwise) between two quantitative variables as observed on a scatterplot, the value of the correlation coefficient, r, is likely to be which of the following?
\n" ); document.write( "• Closer to 1
\n" ); document.write( "• Closer to −1
\n" ); document.write( "• Closer to 0
\n" ); document.write( "• Either closer to −1 or 1\r
\n" ); document.write( "\n" ); document.write( "Question 4
\n" ); document.write( "Select one answer.
\n" ); document.write( "10 points
\n" ); document.write( "Using data from 100 hospitals, a correlation of r = 0.78 is found between the size of a hospital (measured in number of beds) and the average length of patient stays (measured in days). Which of the following is true?
\n" ); document.write( "• There is a pretty strong positive linear correlation between number of beds and length of hospital stay.
\n" ); document.write( "• “Severity of illness” is a possible lurking variable that is behind this relationship.
\n" ); document.write( "• Increasing hospital size must be the cause of longer patient stays. \r
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\n" ); document.write( "\n" ); document.write( "Question 6
\n" ); document.write( "Select one answer.
\n" ); document.write( "10 points
\n" ); document.write( "Suppose the correlation between two variables (x, y) in a data set is determined to be r = 0.63, What must be true about the slope, b, of the least-squares line estimated for the same set of data?
\n" ); document.write( "• The slope b is always equal to the square of the correlation r.
\n" ); document.write( "• The slope will have the opposite sign as the correlation.
\n" ); document.write( "• The slope will have the same sign as the correlation.
\n" ); document.write( "• The slope will also be a value between −1 and 1. \r
\n" ); document.write( "\n" ); document.write( "Question 7
\n" ); document.write( "Select all that apply.
\n" ); document.write( "10 points
\n" ); document.write( "A study was done on the timeliness of flights categorized as either \"on time\" or \"delayed\" of two major airlines: StatsAir and AirMedian. Data were collected over a period of time from five major cities and it was found that StatsAir does better overall (i.e., has a smaller percentage of flights categorized as delayed). However, in each of the five cities separately, AirMedian does better (i.e., has a smaller percentage of flights categorized as delayed in each city).
\n" ); document.write( "Which of the following is correct? Check all that apply.\r
\n" ); document.write( "\n" ); document.write( "• This is an example of Simpson's paradox.
\n" ); document.write( "• \"City\" is a lurking variable in this example.
\n" ); document.write( "• This is an example of a negative association between variables.\r
\n" ); document.write( "\n" ); document.write( "Question 8
\n" ); document.write( "Select one answer.
\n" ); document.write( "10 points
\n" ); document.write( "A correlation of r = 0.85 is found between weekly sales of firewood and cough drops over a 1-year period. Which of the following is a correct interpretation of this correlation value?
\n" ); document.write( "• Temperature is a possible lurking variable that is behind this relationship.
\n" ); document.write( "• There is a pretty strong positive linear relationship between sales of firewood and cough drops.
\n" ); document.write( "• Fire must be the cause of coughing.
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Algebra.Com's Answer #664760 by ikleyn(52794)\"\" \"About 
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