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  • 12.2.6: Conclusion - Simple Linear Regression
    https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Mostly_Harmless_Statistics_(Webb)/12%3A_Correlation_and_Regression/12.02%3A_Simple_Linear_Regression/12.2.06%3A_Conclusion_-_Simple_Linear_Regression
    In the “Plot Type” menu select “Scatter.” In the “x” space type in the name of your list with the x variable without space, for our example “list1.” In the “y” space press [2ND] [-] for the VAR-LINK m...In the “Plot Type” menu select “Scatter.” In the “x” space type in the name of your list with the x variable without space, for our example “list1.” In the “y” space press [2ND] [-] for the VAR-LINK menu. Now find and use the regression equation to calculate the 95% prediction interval to predict the sulfide level in the ocean when the sulfate level is 25 mM.
  • 9.2.6: Conclusion - Simple Linear Regression
    https://stats.libretexts.org/Workbench/Statistics_for_Behavioral_Science_Majors/09%3A_Correlation_and_Regression/9.02%3A_Simple_Linear_Regression/9.2.06%3A_Conclusion_-_Simple_Linear_Regression
    In the “Plot Type” menu select “Scatter.” In the “x” space type in the name of your list with the x variable without space, for our example “list1.” In the “y” space press [2ND] [-] for the VAR-LINK m...In the “Plot Type” menu select “Scatter.” In the “x” space type in the name of your list with the x variable without space, for our example “list1.” In the “y” space press [2ND] [-] for the VAR-LINK menu. Now find and use the regression equation to calculate the 95% prediction interval to predict the sulfide level in the ocean when the sulfate level is 25 mM.

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