Statistics HW 8 - Question 1 0.1 out of 0.1 points...

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Question 1 0.1 out of 0.1 points Description: Scatter Plots and Regression Instructions Women's Interview Survey of Health (WISH): This survey collected data on 271 women through telephonic interviews about their diets. Each respondent was contacted six times for a 24-hour recall of what they consumed. After the data were collected, caloric intact was then calculed for each respondent. Recall from lecture 5, that we believe there was a Hawthorne effect during the progression of the recall interviews. The WISH data will be used for this question. The regression of the average of 6 24- hour recalls for measuring caloric intake (recallav) and Body Mass Index (BMI) is the study. There is interest in knowing if there is a linear relationship between reported caloric intake and BMI. The dependent variable is average caloric intake and the independent variable is BMI. Download the following WISH dataset: WISH Data to answer the following questions. Create a scatterplot of the data without the least squares line (Graph – Scatterplots – Simple). The dependent variable is Y (average caloric intake [recallav]) and the independent variable is X (BMI). Select OK and print this scatterplot. Now draw your own version of the line on the copy then answer the following question. Did you draw a downward sloping line or upward sloping line? Selected Answer: Downward Answers: Cannot be determined with the given information Downward Upward Question 2 0.1 out of 0.1 points Next, fit the scatterplot with a least squares line by doing the following: • Graph-Scatterplots-With Regression • Enter your dependent and independent variables • Select OK Print this graph as well. Check for yourself how close your hand-drawn line compares to the actual least squares line from the Minitab. Did you notice both hand drawn and the line with interactive graph being in the same direction? (they both are upward sloping or
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downward sloping lines). Selected Answer: Yes Answers: Yes Cannot be determined with the given information No Question 3 0.2 out of 0.2 points You are now going to do a complete regression analysis. Here are some steps to follow: • Stat – Regression – Regression – Fit Regresssion Model • Move average caloric intake to Response variable, and BMI to Predictor variable • Select Graphs and check Normal plot of residuals and residuals versus fits. • Select Results and select: Expanded Tables, Method, Analysis of variance, Model summary, Coefficients, and Regression equation. • Select Storage. Check Fits, Residuals, Hi (leverages), and Cook’s distance. • Click on OK to run regression • You will now have new variables which are residuals (RESI1), leverage values (HI1), and Cook’s distances (COOK1). If you like, change their labels into something reasonable, in the data worksheet.
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  • Summer '16
  • Rick Simmons
  • Statistics, Correct Answer, Evaluation Method, Pattern Match

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