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5 pages/β‰ˆ1375 words
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Subject:
Accounting, Finance, SPSS
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 28.08
Topic:

Pearson r Test, Linear Regression, and Chi-Square Test

Coursework Instructions:

SPSS Assignment Part III
Complete the assignment below and submit in one document in Canvas. Do not submit an SPSS file. Put your SPSS outputs for each Task into a single document in a format acceptable for submission in Canvas (e.g. MS word, pdf).
Here is a video that I created to walk you through the assignment:
https://youtu(dot)be/-bCF-fb20jQ
I. Task 1 – Pearson r test
What you will submit for Task 1: Pearson r test output for the study below.
You are an instructor and interested in studying the relationship between the number of study hours and final grades on your exam so you decide to do a correlational study to study this relationship. So, you hand out your final exam to your class and you include an additional question that states: “How many hours did you study for the final exam?” The data is below. Column 1 is the number of study hours reported and Column 2 is each student’s associated final exam scores.

Start a new file in SPSS
Enter the data into Column 1
Enter the data into Column 2
In Variable View: Name your variables (STUDYHRS for Column 1 and SCORES for Column 2), Specify Type (Numeric), Specify the types of Measures (Scale for both).
From the Analyze menu at the top, choose Correlate.
Choose Bivariate from the list of tests.
Use the arrow to click each of your variables over to the Variables box
Under Correlation Coefficients choose Pearson.
Under Tests of Significance choose One tailed.
Click OK; your statistics will appear in the Output window.
There are many ways to save your output. A nifty function that I like is to use the Export function. This exports the data to an MS word doc which allows you to manipulate the data quite easily and put into one document. To do this, in your data output, choose the icon that represents “Export” (or from the Files Section choose “Export”) and for “Objects to Export” select “All Visible” and then voila’! Another way is to copy and paste the outputs and put them into a word document. To do this, I left click on the test output and then right click and “copy”, and then I go to my word document and right click and press “paste”. There are other ways to save your output into one document. Feel free to do whatever works for you.
II. Task 2 – Linear Regression
What you will submit for Task 2: Linear Regression test output for the study below.
You are an instructor and interested in creating a model that predicts the relationship between the number of study hours and final grades on your exam so you decide to do a Linear Regression test. So, you hand out your final exam to your class and you include an additional question that states: “How many hours did you study for the final exam?” The data is below. Column 1 is the number of study hours reported and Column 2 is each student’s associated final exam scores. (Note: This is the same data that you used in Task 1)
Start a new file in SPSS
Enter the data into Column 1
Enter the data into Column 2
In Variable View: Name your variables (STUDYHRS for Column 1 and SCORES for Column 2), Specify Type (Numeric), Specify the types of Measures (Scale for both).
From the Analyze menu at the top, choose Regression.
Choose Linear from the list of tests.
Click your predictor (X) variable (STUDYHRS) into the Independent variable box.
Click your response (Y) variable into the Dependent variable box (SCORES).
Click OK; your statistics will appear in the Output window.
There are many ways to save your output. A nifty function that I like is to use the Export function. This exports the data to an MS word doc which allows you to manipulate the data quite easily and put into one document. To do this, in your data output, choose the icon that represents “Export” (or from the Files Section choose “Export”) and for “Objects to Export” select “All Visible” and then voila’! Another way is to copy and paste the outputs and put them into a word document. To do this, I left click on the test output and then right click and “copy”, and then I go to my word document and right click and press “paste”. There are other ways to save your output into one document. Feel free to do whatever works for you.
III. Task 3 – Chi Square Test
What you will submit for Task 3: Chi Square test output for the study below.
You are a freshman who is considering taking a class that is open to all class levels and you are wondering how freshman perform in the class relative to students in other class levels (sophomore, junior, senior). You decide to run a survey which asks students their class level and their final grade in the class. You have the data below. Column 1 represents class level and Column 2 represents each associated students reported final grade.
Start a new file in SPSS
Enter the data into Column 1
Enter the data into Column 2
In Variable View: Name your variables (CLASS for Column 1 and GRADE for Column 2), Specify Type (String), Specify the types of Measures (For CLASS use Nominal and for GRADE use Ordinal).
From the Analyze menu at the top, choose Descriptive Statistics.
Choose Crosstabs from the list of tests.
Click one variable into the Row box.
Click one variable into the Column box
Select the Statistics button
Select Chi Square and Continue.
Click OK; your statistics will appear in the Output window.
There are many ways to save your output. A nifty function that I like is to use the Export function. This exports the data to an MS word doc which allows you to manipulate the data quite easily and put into one document. To do this, in your data output, choose the icon that represents “Export” (or from the Files Section choose “Export”) and for “Objects to Export” select “All Visible” and then voila’! Another way is to copy and paste the outputs and put them into a word document. To do this, I left click on the test output and then right click and “copy”, and then I go to my word document and right click and press “paste”. There are other ways to save your output into one document. Feel free to do whatever works for you.

Coursework Sample Content Preview:
Task 1 – Pearson r test
Correlations
Correlations SCORES STUDYHRSSCORES Pearson Correlation 1 .926** Sig. (1-tailed) .000 N 30 30STUDYHRS Pearson Correlation .926** 1 Sig. (1-tailed) .000 N 30 30
**. Correlation is significant at the 0.01 level (1-tailed).
Task 2 – Linear Regression
Regression
Variables Entered/RemovedaModel Variables Entered Variables Removed Method1 STUDYHRSb . Enter
a. Dependent Variable: SCORESb. All requested variables entered.
Model SummaryModel R R Square Adjusted R Square Std. Error of the Estimate1 .926a .857 .852 6.226
a. Predictors: (Constant), STUDYHRS
ANOVAaModel Sum of Squares df Mean Square F Sig.1 Regression 6523.479 1 6523.479 168.272 .000b Residual 1085.487 28 38.767 Total 7608.967 29
a. Dependent Variable: SCORESb. Predictors: (Constant)...
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