 4.8 4.9 4.7

# (Q) Linear Regression Exercises

Linear Regression Exercises Simple RegressionResearch Question: Does the number of hours worked per week (workweek) predict family income (income)?Using Polit2SetA data set, run a simple regression using Family Income (income) as the outcome variable (Y) and Number of Hours Worked per Week (workweek) as the independent variable (X). When conducting any regression analysis, the dependent (outcome) variables is always (Y) and is placed on the y-axis, and the independent (predictor) variable is always (X) and is placed on the x-axis.Follow these steps when using SPSS:1. Polit2SetA data set.2. Click on Analyze, and then click on Regression, then Linear.3. Move the dependent variable (income) in the box labeled Dependent by clicking the arrow button. The dependent variable is a continuous variable.4. Move the independent variable (workweek) into the box labeled Independent.5. Click on the Statistics button (right side of box) and click on Descriptive, Estimates, Confidence Interval (should be 95%), and Model Fit, then click on Continue.6. Click on OK.Assignment: Through analysis of the SPSS output, answer the following questions.1. What is the total sample size?2. What is the mean income and mean number of hours worked?3. What is the correlation coefficient between the outcome and predictor variables? Is it significant? How would you describe the strength and direction of the relationship?4. What it the value of R squared (coefficient of determination)? Interpret the value.5. Interpret the standard error of the estimate? What information does this value provide to the researcher?6. The model fit is determined by the ANOVA table results (F statistic = 37.226, 12,376 degrees of freedom, and the p value is .001). Based on these results, does the model fit the data? Briefly explain. (Hint: A significant finding indicates good model fit.)7. Based on the coefficients, what is the value of the y-intercept (point at which the line of best fit crosses the y-axis)?8. Based on the output, write out the regression equation for predicting family income.9. Using the regression equation, what is the predicted monthly family income for women working 35 hours per week?10. Using the regression equation, what is the predicted monthly family income for women working 20 hours per week? Multiple RegressionsAssignment: In this assignment we are trying to predict CES-D score (depression) in women. The research question is: How well do age, educational attainment, employment, abuse, and poor health predict depression? Using Polit2SetC data set, run a multiple regression using CES-D Score (cesd) as the outcome variable (Y) and respondent s age (age), educational attainment (educatn), currently employed (worknow), number, types of abuse (nabuse), and poor health (poorhlth) as the independent variables (X). When conducting any regression analysis, the dependent (outcome) variables is always (Y) and is placed on the y-axis, and the independent (predictor) variable is always (X) and is placed on the x-axis.Follow these steps when using SPSS:1. Polit2SetC data set.2. Click on Analyze, and then click on Regression, then Linear.3. Move the dependent variable, CES-D Score (cesd) into the box labeled Dependent by clicking on the arrow button. The dependent variable is a continuous variable.4. Move the independent variables (age, educatn, worknow, and poorhlth) into the box labeled Independent. This is the first block of variables to be entered into the analysis (block 1 of 1). Click on the bottom (top right of independent box), marked Next; this will give you another box to enter the next block of indepdent variables (block 2 of 2). Here you are to enter (nabuse). Note: Be sure the Method box states Enter.5. Click on the Statistics button (right side of box) and click on Descriptives, Estimates, Confidence Interval (should be 95%), R square change, and Model Fit, and then click on Continue.6. Click on OK.Assignment: (When answering all questions, use the data on the coefficients panel from Model 2).1. Analyze the data from the SPSS output and write a paragraph summarizing the findings. (Use the example in the SPSS output file as a guide for your write-up.)2. Which of the predictors were significant predictors in the model?3. Which of the predictors was the most relevant predictor in the model?4. Interpret the unstandardized coefficents for educational attainment and poor health.5. If you wanted to predict a woman s current CES-D score based on the analysis, what would the unstandardized regression equation be? Include unstandardized coefficients in the equation.
Looking for a Similar Assignment? Get Expert Help For A 100% ORIGINAL PAPER!
Linear Regression Exercises nursing assignment tutor.

## Ordering Homework Writing Service

You can get our ideal online homework help services with four easy steps. All you have to do is inform us of your requirements. Immediately we will match with a specialist in your academic discipline. After that, we will track your order, review it to ensure it meets your requirements, and submit it to your email. #### Submit Requirements

Fill in your assignment instructions on the order form #### Writer match #### Quality review

We have a team of editors, who will thoroughly review your assignment, ensuring there are no errors before submission ## Amazing Homework Writing Features

Once you consult us for homework help online services, you will attest to why we are among the USA's best essay writing services.

Read on and find out some of the features that make our services superlative.

## Free Homework Writing Services

#### Free plagiarism checker

You can confirm that the content you get is original for free using our plagiarism checker.

#### Free title page and bibliography

Once you place an order, we format it accordingly without demanding additional charges.

#### Free unlimited revisions

We offer free unlimited revisions until your assignment is of your desired quality..