course material

1. Indicate the strength and direction of the relationship between body
mass index and physical health component subscale?
Indicate the strength and direction of the relationship between body mass index and
physical health component subscale?Indicate the strength and direction of the relationship
between body mass index and physical health component subscale?Permalink: https://
/indicate-the-str…mponent-subscale/Week Six – Correlations ExercisesCorrelations are
used to describe the strength and direction of a relationship between two variables. A
correlation between two variables is known as a bivariate correlation. In this module the
Pearson Product-Moment Correlation will be used when running a correlation matrix. The
Pearson correlation coefficient ranges from a value of -1.0 to 1.0. A correlation coefficient is
never above 1.0 or below -1.0. A perfect positive correlation is 1.0 and a perfect negative
correlation is -1.0. The size of the coefficient determines the strength of the relationship and
the sign (i.e., + or -) determines the direction of the relationship. The closer the value is to
zero the weaker the relationship and the closer the value is to 1.0 or -1.0 the stronger the
relationship. A correlation coefficient of zero indicates no relationship between the
variables.A scatterplot is used to depict the relationship between two variables. The general
shape of the collection of points indicates whether the correlation is positive or negative. A
positive relationship will have the data points group into a cluster from the lower left hand
corner to the upper right hand corner of the graph. A negative relationship will be depicted
by points clustering in the lower right hand corner to the upper left hand corner of the
graph. When the two variables are not related the points on the scatterplot will be scattered
in a random fashion.Using Polit2SetB dataset, create a correlation matrix using the
following variables: Number of visits to the doctor in the past 12 months (docvisit), body
mass index (bmi), Physical Health component subscale (sf12phys) and Mental Health
component subscale (sf12ment). Run means and descriptives for each variable as well as
the correlation matrix. Follow these steps using SPSS: Click Analyze, then correlate, then
bivariate.Select each variable and move them into the box labeled “ Variables.” Be sure the
Pearson and two-tailed box is checked.Click on the options tab (upper right corner) and
check “ means and standard deviations.” The exclude cases pairwise should also be
checked. Click continue.Click OK To run descriptives for docvisit, bmi, sf12phys and
sf12ment do the following in SPSS: Click Analyze then click Descriptives Statistics, then
Descriptives.Click the first continuous variable you wish to obtain descriptives for (docvisit)
and then click on the arrow button and move it into the Variables box. Then click bmi and

2. then click on the arrow button and move it into the Variables box. Then click sf12phys and
then click on the arrow button and move it into the Variables box. Then click sf12ment and
then click on the arrow button and move it into the Variables box.Click the Options button
in the upper right corner. Click mean and standard deviation.Click continue and then click
OK. Assignment: Answer the following questions about the correlation matrix. What is the
strongest correlation in the matrix? (Provide correlation value and names of variables)What
is the weakest correlation in the matrix? (Provide correlation value and names of
variables)How many original correlations are present on the matrix?What does the entry of
1.00 indicate on the diagonal of the matrix?Indicate the strength and direction of the
relationship between body mass index and physical health component subscale?Which
variable is most strongly correlated with body mass index? What is the correlational
coefficient? What is the sample size for this relationship?What is the mean and standard
deviation for bmi and doctor visits? Part II Using Polit2SetB dataset, create a scatterplot
using the following variables: x-axis = body mass index (bmi) and the y-axis = weight-
pounds (weight). Follow these steps in SPSS: Click Graphs, then click on Legacy Dialogs,
then click “ Scatter/Dot” .Click “ Simple Scatter” and then click “ Define.” Click on weight-
pounds and move it to the Y-axis box and then click on body mass index and move it to the
x-axis box.Click OK. To run descriptives for bmi and weight do the following in SPSS: Click
Analyze then click Descriptives Statistics, then Descriptives.Click the first continuous
variable you wish to obtain descriptives for (body mass index) and then click on the arrow
button and move it into the Variables box. Then click weight-pounds and then click on the
arrow button and move it into the Variables box.Click the Options button in the upper right
corner. Click mean and standard deviation.Click continue and then click
OK.Assignment:What is the mean and standard deviation for weight and bmi?Describe the
strength and direction of the relationship between weight and bmi?Describe the
scatterplot? What information does it provide to a researcher?