Assignment # 4

For all computer assignments:

You are expected to do your own work. You may seek help from others to learn how to carry out a procedure, but you are to do all aspects of the assignment yourself. Therefore you should work through the complete assignment seeking help as necessary. If you do so without help - great. However if you have had help along the way with any aspect of a major component of the assignment (the major components are underlined on the assignment handouts), then you should repeat the work on that component from beginning to end on your own. The work you turn in should represent your independent working of the assignment. In addition, your typed answers to the questions should be in your own wording. The cover sheets that you sign will attest to this.

For this assignment:

Define the variables:

use the column heads for variable names

each variable is numeric; make the width appropriate to the values for the variable (values for child and reading are whole numbers and should have decimal =0; values for gpa include decimals, therefore they should be width =4 and decimal =2)

label each variable ( child = child number; reading = reading time; g p a= grade point average)

make all columns =8

select appropriate scale for each variable

Enter data - print a case summaries for all variables and check data entry

Analyze data:

do a simple, bivariate linear regression analysis for the variables reading and gpa;

[Analyze > Regression > Linear; Dependent = grade point average and Independent = reading time; click the Statistics button and be sure that the following are checked:

Estimates, Model fit, and Descriptives > Continue; click the Options button and make sure that the "Include constant in equation option is checked > Continue and OK]

generate a scatterplot for the scores on the two variables and add the regression line to the plot [Graphs > Interactive > Scatterplot; drag grade point average to the Y-axis and drag reading time to the X-axis; click the fit tab and make sure to select the Regression option under Method; click the Titles tab and enter your name as the Chart Title > OK]

Print

1. The output of the regression procedure (Descriptive Statistics, Correlations, Variables Entered/Removed, Model Summary, ANOVA, and Coefficients)
2. The output of the graph procedure.

Answer the following in writing (typewritten):

1. What is the correlation of the two variables?
2. What percentage of the variance in $g p a$ is explained by linear relationship to reading?
3. Is the correlation significant?
4. Write the regression equation for predicting the raw score on gpa from the raw score on reading. Use the equation to predict the gpa for a child whose reading score is 3 .
5. Write a short summary of the findings as they relate to the researcher's hypothesis.

Price: $7.58

Solution: The downloadable solution consists of 6 pages, 158 words and 1 charts.
Deliverable: Word Document