REGRESSION APPLICATION AND INTERPRETATION ASSIGNMENT
|Assignment ID Number||AFFGEHU83939HD|
|Type of Document||Essay|
This weeks assignment is on regression. You will analyze the following variables in the grades.sav data set:
SPSS Variable Definition
GPA previous grade point average
Total total number of points earned in class
Step 1: Write Section 1 of the DAA: The Data Analysis Plan
Name the variables used in this analysis and whether they are categorical or continuous.
State a research question, null hypothesis, and alternate hypothesis for the regression.
Step 2: Write Section 2 of the DAA: Testing Assumptions
Test for one of the assumptions of regression normality.
Create SPSS output showing the Durbin Watson test of normality. This test is generated when you run your regression analysis (the table is called Model Summary).
Paste the table in the DAA.
Interpret the Durbin-Watson test.
Step 3: Write Section 3 of the DAA: Results and Interpretation
Paste the following SPSS tables into the document:
The Model Summary table.
The ANOVA table.
The Coefficients table.
Report the overall R-square, F test, and unstandardized beta.
Interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.
Step 4: Write Section 4 of the DAA: Statistical Conclusions
Provide a brief summary of your analysis and the conclusions drawn about this regression.
Analyze the limitations of the statistical test and/or possible alternative explanations for your results.
Step 5: Write Section 5 of the DAA: Application
Analyze how you might use linear regression in your field of study.
Name an independent variable and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.
Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.
The data represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.
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