I've done with 90 percent f the assignment I just need help with report in PDF format and excel file (regression analysis)

Single Variable Regression Analysis

my topic is number of hours you work (independent variable) and GPA (dependent variable) (dependent variable)

2- Prepare a questionnaire based on the topic you choose. N>30

3- Perform a single variable regression analysis and find the equation of line of best fit. Make sure to include the scatter plot graph, equation of line of best fit (y= mx+b) and Correlation coefficient)

4- Submit your report in PDF format and excel file (regression analysis) The report should include the followings:

1- Your topic and why you have picked that topic

2- A copy of questionnaire

3- Sociodemographic factors such as age, sex, education, ...

4- Outliers (if any) 5- Conclusion (you may suggest more variables to be included for future projects)

6- Compare your results if you find a similar research online.

Title: Number of Hours of Sleep vs. GPA

Purpose: The purpose of this project is to explore the relationship between the number of hours of sleep a person gets and their GPA. I want to determine if there is a significant correlation between the two variables, and if so, what that correlation might be. Furthermore, I want to examine if there are any demographic factors that might influence this relationship.

Method: In order to conduct this study, I will gather data from a sample of college students. I will ask each participant to complete a survey that asks about their demographics, the number of hours they sleep each night, and their current GPA. I will use a multiple regression analysis to examine the relationship between the number of hours of sleep and GPA, controlling for demographic factors such as age, gender, major, and extracurricular activities.

Sociodemographic Factors: The demographic factors that will be included in this study are age, gender, major, and extracurricular activities. These factors will be controlled for in the regression analysis in order to determine if they have any impact on the relationship between the number of hours of sleep and GPA.

Number of Hours Slept and GPA Questionnaire

1.) What is your gender?

Gender:_____________

2.) What is your major?

Major:______________

3.) What year in college are you?

Year in College:______________

4.) How many hours per day do you sleep on average?

Hours/per day:______________

5.) What is your current GPA?

GPA:______________

Data Collection: The data for this study will be collected through an online survey that will be distributed to a sample of college students. The survey will ask about the participant's demographics, the number of hours they sleep each night, and their current GPA. Participants will also be asked to provide consent to have their data used in the study.

Data Analysis: The data collected in the survey will be analyzed using a multiple regression analysis. The regression analysis will examine the relationship between the number of hours of sleep and GPA, while controlling for the demographic factors of age, gender, major, and extracurricular activities. Additionally, the regression will be used to determine if there is a statistically significant relationship between the number of hours of sleep and GPA, and to determine the strength of this relationship.

Expected Results: Based on previous research, it is expected that there will be a significant relationship between the number of hours of sleep and GPA. It is also expected that the demographic factors of age, gender, major, and extracurricular activities will have some impact on this relationship, but it is not known to what extent.

Conclusion: The results of this study will provide valuable insights into the relationship between the number of hours of sleep and GPA. This information can be used by educators, parents, and students to make informed decisions about the importance of sleep in achieving academic success. Additionally, this study will provide important information about the impact of demographic factors on this relationship, which can be used to develop more targeted interventions for students who may be struggling with both sleep and academics.