[Solved] Regression Data – Screening Output

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Follow and read all attached documents **files (6)** – ## EDCO745Blog.docx – ## Videos.docx – ## RegressionDataScreeningOutputAssignmentInstructions.docx – ## RegressionData-ScreeningOutputGradingRubric.pdf – READ-RegressionData-ScreeningOutput.pdf – Read-WarnerIIChapter9.pdf **## EDCO745Blog.docx**…

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Assignment Prompt & Instructions

Follow and read all attached documents

**files (6)**

– ## EDCO745Blog.docx

– ## Videos.docx

– ## RegressionDataScreeningOutputAssignmentInstructions.docx

– ## RegressionData-ScreeningOutputGradingRubric.pdf

– READ-RegressionData-ScreeningOutput.pdf
– Read-WarnerIIChapter9.pdf

**## EDCO745Blog.docx**

You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.

**## Videos.docx**

**Videos**

[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)

**## RegressionDataScreeningOutputAssignmentInstructions.docx**

EDCO 745

**Regression Data Screening Output Assignment Instructions**

**Overview**

Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.

**Instructions**

1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.

_Note: You only have to turn in output for data screening of the variables you use in your analysis._

**Output should include:**

• Variable Selections

• Frequencies

• Crosstabs (if necessary)

• Boxplots (if necessary)

• Scatterplot

Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.

**## RegressionData-ScreeningOutputGradingRubric.pdf**

Criteria Ratings Points

Output 35 to >24 pts

Advanced

Submitted
regression data
screening output
includes all
appropriate data.

24 to >16 pts

Proficient

Most components in
the submitted
regression data
screening output are
included

16 to >9 pts

Developing

Some components
in the regression
data screening
output are included.

9 to >0 pts

Below
Expectations

Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.

0 pts

Not
Present

35 pts

Grammar 15 to >11 pts

Advanced

The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.

11 to >7 pts

Proficient

The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.

7 to >4 pts

Developing

The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.

4 to >0 pts

Below
Expectations

The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.

0 pts

No
Marks

15 pts

Total Points: 50

Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620

**READ-RegressionData-ScreeningOutput.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)

**Read-WarnerIIChapter9.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)

**Read-WarnerIIChapter9.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)

**## EDCO745Blog.docx**

You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.

**## Videos.docx**

**Videos**

[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)

**## RegressionDataScreeningOutputAssignmentInstructions.docx**

EDCO 745

**Regression Data Screening Output Assignment Instructions**

**Overview**

Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.

**Instructions**

1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.

_Note: You only have to turn in output for data screening of the variables you use in your analysis._

**Output should include:**

• Variable Selections

• Frequencies

• Crosstabs (if necessary)

• Boxplots (if necessary)

• Scatterplot

Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.

**## RegressionData-ScreeningOutputGradingRubric.pdf**

Criteria Ratings Points

Output 35 to >24 pts

Advanced

Submitted
regression data
screening output
includes all
appropriate data.

24 to >16 pts

Proficient

Most components in
the submitted
regression data
screening output are
included

16 to >9 pts

Developing

Some components
in the regression
data screening
output are included.

9 to >0 pts

Below
Expectations

Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.

0 pts

Not
Present

35 pts

Grammar 15 to >11 pts

Advanced

The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.

11 to >7 pts

Proficient

The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.

7 to >4 pts

Developing

The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.

4 to >0 pts

Below
Expectations

The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.

0 pts

No
Marks

15 pts

Total Points: 50

Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620

**READ-RegressionData-ScreeningOutput.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)

**Read-WarnerIIChapter9.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)

**## EDCO745Blog.docx**

You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.

**## Videos.docx**

**Videos**

[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)

**## RegressionDataScreeningOutputAssignmentInstructions.docx**

EDCO 745

**Regression Data Screening Output Assignment Instructions**

**Overview**

Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.

**Instructions**

1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.

_Note: You only have to turn in output for data screening of the variables you use in your analysis._

**Output should include:**

• Variable Selections

• Frequencies

• Crosstabs (if necessary)

• Boxplots (if necessary)

• Scatterplot

Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.

**## RegressionData-ScreeningOutputGradingRubric.pdf**

Criteria Ratings Points

Output 35 to >24 pts

Advanced

Submitted
regression data
screening output
includes all
appropriate data.

24 to >16 pts

Proficient

Most components in
the submitted
regression data
screening output are
included

16 to >9 pts

Developing

Some components
in the regression
data screening
output are included.

9 to >0 pts

Below
Expectations

Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.

0 pts

Not
Present

35 pts

Grammar 15 to >11 pts

Advanced

The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.

11 to >7 pts

Proficient

The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.

7 to >4 pts

Developing

The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.

4 to >0 pts

Below
Expectations

The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.

0 pts

No
Marks

15 pts

Total Points: 50

Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620

**READ-RegressionData-ScreeningOutput.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)

**Read-WarnerIIChapter9.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)

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