[Solved] Correlation -Stats

Assignment Prompt & Instructions

600 words minimum
· Current APA 7 must be used to cite sources
.At Least Three (3 to 5 years old) references

– ## Videos.docx

– ## Module7LearningObjectives.docx

– ## Instruction-EssayCorrelationAssignmentPrompts.docx

– Reading-AppliedstatisticsIChap10-11.pdf

**## Videos.docx**

[https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347](https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347)

[https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351](https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351)

[https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video](https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video)

**## Module7LearningObjectives.docx**

Module 7: Week 7 Introduction

**Overview**

Correlation is your introduction to predictive thinking. This module you will be working with ideas related to applying correctional techniques.

**Learning Outcomes**

Upon successful completion of this module, you will be able to:

· Understand correlation conceptually.

· Interpret the strength direction of correlations relative p-values, experiment wide error and the null hypothesis.

· Use SPSS to conduct correlational analysis, create scatterplots, and interpret results.

· Understand the coefficient of determination and how it relates to other descriptions of effect.

· Understand the effect of third variables and proper specification of the model.

Be sure to complete all Introduction, Learn, and Apply items in
[Module 7: Week 7 – Correlation](https://canvas.liberty.edu/courses/962521/modules/8285475) by Sunday 11:59 p.m. (ET) on the assigned due date. Use the Modules link on the left side of the screen at any time to view your progress in the course.

**## Instruction-EssayCorrelationAssignmentPrompts.docx**

EDCO 735

**Essay: Correlation Assignment Prompts**

· Provide an example of a hypothetical situation in which a Pearson’s
_r_ is used. Explain how the sign and magnitude of
_r_ would contribute to a researcher’s understanding of the relationship between X and Y. Given the assumptions for use of Pearson’s
_r_, what would a thorough data screening entail to use of (think statistical tests and data visualization)? How might a researcher attempt to decrease the risk of a Type I error while reporting several correlations?

· Discuss the two forms of the regression equation, raw score and z score, and provide examples of situations in which one would be more useful than the other. Explain how
_r_,
_R_, and
_B_ are related to one another in bivariate regression.

**Reading-AppliedstatisticsIChap10-11.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/reading-appliedstatisticsichap10-11-pdf)

**Reading-AppliedstatisticsIChap10-11.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/reading-appliedstatisticsichap10-11-pdf)

**## Videos.docx**

[https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347](https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347)

[https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351](https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351)

[https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video](https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video)

**## Module7LearningObjectives.docx**

Module 7: Week 7 Introduction

**Overview**

Correlation is your introduction to predictive thinking. This module you will be working with ideas related to applying correctional techniques.

**Learning Outcomes**

Upon successful completion of this module, you will be able to:

· Understand correlation conceptually.

· Interpret the strength direction of correlations relative p-values, experiment wide error and the null hypothesis.

· Use SPSS to conduct correlational analysis, create scatterplots, and interpret results.

· Understand the coefficient of determination and how it relates to other descriptions of effect.

· Understand the effect of third variables and proper specification of the model.

Be sure to complete all Introduction, Learn, and Apply items in
[Module 7: Week 7 – Correlation](https://canvas.liberty.edu/courses/962521/modules/8285475) by Sunday 11:59 p.m. (ET) on the assigned due date. Use the Modules link on the left side of the screen at any time to view your progress in the course.

**## Instruction-EssayCorrelationAssignmentPrompts.docx**

EDCO 735

**Essay: Correlation Assignment Prompts**

· Provide an example of a hypothetical situation in which a Pearson’s
_r_ is used. Explain how the sign and magnitude of
_r_ would contribute to a researcher’s understanding of the relationship between X and Y. Given the assumptions for use of Pearson’s
_r_, what would a thorough data screening entail to use of (think statistical tests and data visualization)? How might a researcher attempt to decrease the risk of a Type I error while reporting several correlations?

· Discuss the two forms of the regression equation, raw score and z score, and provide examples of situations in which one would be more useful than the other. Explain how
_r_,
_R_, and
_B_ are related to one another in bivariate regression.

**Reading-AppliedstatisticsIChap10-11.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/reading-appliedstatisticsichap10-11-pdf)

**## Videos.docx**

[https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347](https://canvas.liberty.edu/courses/962521/pages/watch-correlation-through-dance?module_item_id=91232347)

[https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351](https://canvas.liberty.edu/courses/962521/pages/watch-the-correlation-coefficient-explained-in-3-steps?module_item_id=91232351)

[https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video](https://onlinestatbook.com/2/describing_bivariate_data/restriction_demo.html#video)

**## Module7LearningObjectives.docx**

Module 7: Week 7 Introduction

**Overview**

Correlation is your introduction to predictive thinking. This module you will be working with ideas related to applying correctional techniques.

**Learning Outcomes**

Upon successful completion of this module, you will be able to:

· Understand correlation conceptually.

· Interpret the strength direction of correlations relative p-values, experiment wide error and the null hypothesis.

· Use SPSS to conduct correlational analysis, create scatterplots, and interpret results.

· Understand the coefficient of determination and how it relates to other descriptions of effect.

· Understand the effect of third variables and proper specification of the model.

Be sure to complete all Introduction, Learn, and Apply items in
[Module 7: Week 7 – Correlation](https://canvas.liberty.edu/courses/962521/modules/8285475) by Sunday 11:59 p.m. (ET) on the assigned due date. Use the Modules link on the left side of the screen at any time to view your progress in the course.

**## Instruction-EssayCorrelationAssignmentPrompts.docx**

EDCO 735

**Essay: Correlation Assignment Prompts**

· Provide an example of a hypothetical situation in which a Pearson’s
_r_ is used. Explain how the sign and magnitude of
_r_ would contribute to a researcher’s understanding of the relationship between X and Y. Given the assumptions for use of Pearson’s
_r_, what would a thorough data screening entail to use of (think statistical tests and data visualization)? How might a researcher attempt to decrease the risk of a Type I error while reporting several correlations?

· Discuss the two forms of the regression equation, raw score and z score, and provide examples of situations in which one would be more useful than the other. Explain how
_r_,
_R_, and
_B_ are related to one another in bivariate regression.

**Reading-AppliedstatisticsIChap10-11.pdf**

This file is too large to display. [View in new window](https://www.sweetstudy.com/files/reading-appliedstatisticsichap10-11-pdf)

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