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Read the following description of a data set.\newlineA software developer is looking for ways to predict how many bugs will appear in future projects. She used a bug-tracking database to analyze several recent projects.From the database, she recorded the number of lines of code for each project, xx. She also looked up the number of bugs that had been found in each project's code, yy.The least squares regression line of this data set is:y=0.008x+394.816y = 0.008x + 394.816\newlineComplete the following sentence:\newlineFor each additional line of code, the least squares regression line predicts ___ more bugs would be found in that project.

Full solution

Q. Read the following description of a data set.\newlineA software developer is looking for ways to predict how many bugs will appear in future projects. She used a bug-tracking database to analyze several recent projects.From the database, she recorded the number of lines of code for each project, xx. She also looked up the number of bugs that had been found in each project's code, yy.The least squares regression line of this data set is:y=0.008x+394.816y = 0.008x + 394.816\newlineComplete the following sentence:\newlineFor each additional line of code, the least squares regression line predicts ___ more bugs would be found in that project.
  1. Identify slope: Identify the slope of the least squares regression line from the given equation y=0.008x+394.816y = 0.008x + 394.816. The slope is the coefficient of xx, which in this case is 0.0080.008.
  2. Interpret slope: Interpret the slope of the regression line. The slope of 0.0080.008 indicates that for each additional line of code, the number of bugs predicted to be found increases by 0.0080.008.

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