Question: SPSS HOMEWORK 6 INSTRUCTIONS PREDICTION: BIVARIATE LINEAR REGRESSION Part 1: Note: The z-scoring method used in the practice data file is covered in Lesson 19
SPSS HOMEWORK 6 INSTRUCTIONS PREDICTION: BIVARIATE LINEAR REGRESSION Part 1: Note: The z-scoring method used in the practice data file is covered in Lesson 19 during PSYC 354. You will use raw data for all homework exercises with no need to convert to z scores. Green & Salkind: Lesson 33, Exercises 1, 3-4 The data for Exercises 1 through 4 are in the data file named Lesson 33 Exercise File 1 on the Web at http://www.pearsonhighered.com/greensalkindSPSS. The data are based on the following research problem. Peter was interested in determining if children who hit a bobo doll more frequently would display more or less aggressive behavior on the playground. He was given permission to observe 10 boys in a nursey school classroom. Each boy was encouraged to hit a bobo doll for 5 minutes. The number of times each boy struck the bobo doll was recorded (bobo). Next, Peter observed the boys on the playground for an hour and recorded the number of times each boy struck a classmate (peer). 1. Conduct a liner regression to predict the number of times a boy would strike a classmate from the number of times the boy hit a bobo doll. From the output, identify the following: A. Slope associated with the predictor B. Additive constant for the regression equation C. Mean number of times they struck a classmate D. Correlation between the number of times they hit the bobo doll and the number of times they struck a classmate E. Standard error of estimate 3 Create a scatterplot of the relationship between the two variables. Plot the regression line on the graph. What can you tell from this graph about the predictability of the dependent variable? 4. Write a Results section based on your analyses. PSYC 355 SPSS HOMEWORK 6 INSTRUCTIONS PREDICTION: BIVARIATE LINEAR REGRESSION Part 1: Note: The z-scoring method used in the practice data file is covered in Lesson 19 during PSYC 354. You will use raw data for all homework exercises with no need to convert to z scores. Green & Salkind: Lesson 33, Exercises 1, 3-4 The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed): 1. Use raw scores, not z scores, in the regression analysis. (3 pts for output and 2 pts each for a-e) 3. Write the answer to the last part of this question beneath your graph, in sentence form. (3 pts) 4. All homework \"Results sections\" must follow the example given in the SPSS tutorial presentations and the Course Content document \"Writing Results of Statistical Tests in Current APA Format\" (Note: you do not have to refer to a figure). Note: The statistical statement for a bivariate linear regression must include at least the equation of the line and the confidence interval for the slope (the second row under Confidence Intervals in the output), as well as a decision about the null hypothesis. (3 pts) Part 2: 1. A community psychologist is interested in whether people's self-reported degree of religious belief predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of wellbeing). The psychologist compiles the information listed in the table below. Conduct a linear regression to analyze the research question. The steps will be the same as the ones you have been practicing in Part 1 of the assignment the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the \"Variable View,\" then return to the \"Data View\" to enter the data. Table is shown on the following page. Page 1 of 3 PSYC 355 Degree of Religious Belief 14 12 20 6 20 18 16 8 12 10 4 19 17 5 15 3 6 Self-Reported Well-Being 19 17 18 10 22 24 17 11 17 9 14 24 21 12 19 11 9 a) SPSS output (3 pts) b) Construct a scatterplot of the relationship between the 2 variables. Plot the regression line on this graph. (3 pts) c) Is degree of religious belief predictive of feelings of well-being in this sample? Write a Results section in current APA style describing the outcome. All homework \"Results sections\" must follow the example given in the SPSS tutorial presentation and the Course Content document \"Writing Results of Statistical Tests in Current APA Format\" (Note: you do not have to refer to a figure). The statistical statement for a bivariate linear regression must include at least the equation of the line and the confidence interval for the slope (the second row under Confidence Intervals in the output), as well as a decision about the null hypothesis. (3 pts) Part 3: Cumulative Homework 1. To investigate the relationship between a person's commute time to work and general life stress, a health psychologist interviewed people about the time they spend in their daily commute to work (in minutes) and had them fill out the Perceived Stress Scale (PSS) (http://www.macses.ucsf.edu/research/psychosocial/pss10.php), with scores ranging from 0 (no perceived stress) to 10 (high perceived stress). Is there a significant relationship between time of commute and general life stress? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table on the following page. Page 2 of 3 PSYC 355 Time Spent Commuting to Work (mins.) 47 19 35 15 20 15 13 19 18 50 65 30 40 PSS Stress Score 6 3 5 2 3 4 3 7 5 9 8 4 6 a) Paste appropriate SPSS output. (4 pts) b) Paste appropriate SPSS graph. (4 pts) c) Write a current APA-style Results section based on your analyses. All homework \"Results sections\" should follow the example given in the SPSS tutorials and the Course Content document \"Writing Results of Statistical Tests in Current APA Format\" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. (4 pts) Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 6. Page 3 of 3
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