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Lab 10 Regression

Lab 10 Regression

Q Answer all questions in RED and submit to Canvas. Lab 10: Regression The purpose of this lab is to help you understand how to conduct linear regression. Using the dataset for this lab, we want to conduct a linear regression to determine if baby’s age of gestation predicts birthweight. Refer to the demonstration video for help interpreting SPSS output. Please note, the video uses different data. You will need to open the Lab 10 SPSS Output to answer the following questions. 1. View the scatter plot in the output. Does there appear to be a relationship between birthweight and gestation? (Y/N)__ 2. Write out the regression equation for this model:3. Did age of gestation significantly predict birthweight? (Write conclusion in APA style including the standardized beta, R squared, and p-value).Hand Calculation: Use the following data to find the R2: X Y 11 6 18 8 17 10 15 4 9 9 5 6 12 3 19 5 22 2 25 10 4. What is the correlation coefficient? 5. What is the R2? _______.

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1.1. View the scatter plot in the output. Does there appear to be a relationship between birthweight and gestation? (Y/N)__Y______. a. If yes, what is the trend of that relationship? (form AND direction)__Linear and positive 2. Write out the regression equation for this model: Predicted Birthweight (y)= -6.60 + (.355)(Gestational Age) 3. Did age of gestation significantly predict birthweight? (Write conclusion in APA style including the standardized beta, R squared, and p-value). A linear regression was conducted to determine if a baby’s age of gestation predicts their birthweight. Our results show that the age of gestation did significantly predict birthweight (standardized beta=.706, r squared= .499, p< .001).