ISC Math 220, Fall 2014, Garren
(A) At least twice on your output, use SPSS to write your name.
(B) Using all 27 observations from exercise #3.2.34 on p. 119, use SPSS to do the following:
(1) Enter the numerical data and label the variable as "NumBrew." (You will need to print this data set regarding number of breweries, although you do NOT need to list the states.)
(2) Using SPSS, compute the sample mean ( X ), sample median, sample standard deviation ( s ), sample variance ( s 2 ), sample range, and interquartile range.
(3) Circle and label the statistics computed in part (B2).
(C) In SPSS enter the numerical data from exercise #11.2.23 on p. 501. Label the x-variable as "Height" and the y-variable as "Weight." (You will need to print this data set.)
(1) Using SPSS, construct a scatterplot of the data.
(2) Using SPSS, plot the fitted linear regression line on the scatterplot.
(3) Using SPSS, determine the slope and intercept of the fitted linear regression line, and circle and label your results.
(4) Using SPSS, determine the sample correlation ( r ) and the coefficient of determination ( r 2 ), which is the fraction of the variation in the values of y that is explained by the least-squares regression of y on x. Circle and label these two numbers.
(D) The order of your output should be approximately the same order in which the problems were assigned.
(E) Although you are allowed to receive help from others, list the names of those who helped you and the names of those whom you helped, as well as what type of help was given. If you did not give or receive help, then write "No help" on the first page. WARNING: Sharing ELECTRONIC copies of SPSS homework in part or in full is a university honor code violation.
(F) Staple your work together.
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