Scatter Plot and Regression Analysis of given Data - Prof. James Davenport, Assignments of Statistics

Instructions for creating scatter plots, performing simple and second degree linear regression analysis, and evaluating the adequacy of the fits based on residual plots for the given dataset.

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Pre 2010

Uploaded on 02/10/2009

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Practice Problems # 12
1. The following table gives values for hypothetical variables x and y.
x y x y
1.0 2.2 11.0 31.5
2.0 9.0 12.0 32.7
3.0 13.5 13.0 34.9
4.0 17.0 14.0 36.3
5.0 20.5 15.0 37.7
6.0 23.3 16.0 38.7
7.0 25.2 17.0 40.0
8.0 26.4 18.0 41.3
9.0 27.6 19.0 42.5
10.0 30.2 20.0 43.7
a. Create a scatter plot of y versus x.
b. Fit a simple linear regression model to this data.
c. Using the model in part b, create a residual plot of the residuals vs. x.
d. Create a residual plot of the residuals vs. fitted values.
e. Do these plots indicate an adequate fit? Explain.
f. Fit a second degree first order linear regression model to this data.
g. Does it seem adequate? Provide the ANOVA table and F test.

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Practice Problems # 12

  1. The following table gives values for hypothetical variables x and y.

x y x y 1.0 2.2 11.0 31. 2.0 9.0 12.0 32. 3.0 13.5 13.0 34. 4.0 17.0 14.0 36. 5.0 20.5 15.0 37. 6.0 23.3 16.0 38. 7.0 25.2 17.0 40. 8.0 26.4 18.0 41. 9.0 27.6 19.0 42. 10.0 30.2 20.0 43.

a. Create a scatter plot of y versus x. b. Fit a simple linear regression model to this data. c. Using the model in part b, create a residual plot of the residuals vs. x. d. Create a residual plot of the residuals vs. fitted values. e. Do these plots indicate an adequate fit? Explain. f. Fit a second degree first order linear regression model to this data. g. Does it seem adequate? Provide the ANOVA table and F test.