Assignment: Using SPSS

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SPSSAssignmentPart2.docx

SPSS Assignment

Part 2

Part 2

For the Part 1 SPSS assignment, you conducted some descriptive statistics on height, and shoe size of students. Refer to the data in SPSS Assignment Part 1 to conduct the following in SPSS:

Determine the Means and Standard Deviations for Height (repeating what you did last week) and Shoe size by writing it out or highlighting it on your output

Note: instructor shoesize is intentionally left blank Conduct a correlation between the 2 variables

Using SPSS, draw a scatterplot (in SPSS)

State the correlation coefficient

Determine/Note the significance level (p value) and state if the correlation is significant Write out the simple regression formula

Using the regression formula (on pages 264 - 265 in the textbook), predict the instructor’s shoesize (Y) from the instructor’s height (X). Y= bX + a Note: You must calculate the formula by hand. (Show work)

To conduct a correlation

Select “Analyze”, then “Correlate,” then “Bivariate”

Move “Height” and “Shoesize” under the “Variables” window

Make sure “Pearson,” “Two-tailed,” and “Flag significant correlations” are all checked Now click “OK”

To create a Scatterplot

Select “Graphs,” then “Legacy Dialogs,” then “Scatter/Dot” Select “Simple Scatter” then hit “Define”

Put “Shoesize” in the “Y Axis” window and put “Height” in the “X Axis” window Now click OK

Create a trend line

Right click on the graph and select “Edit Contents,” then “In separate window” At the top select the icon that says “Add Fit Line at Total”

Note: the icon (“Add Fit Line at Total”) is one of the last icons listed (either on the right of the scroll line, or on the bottom most scroll line

Make sure “Linear” is checked under the “Fit Method,” then click “Close”

Note: Once you create your trend line, you will see a box that shows the regression equation. However, the output shows the equation as Y=a +bX (rather than Y=bX + a). Be sure to put the correct numbers in the correct part of the equation. The symbol b represents your slope. Think of the slope as an unstandardized regression coefficient.

-In addition to your answers, print out or upload your SPSS output-