The data below are the final exam scores of 10 randomly selected history students and the number of hours they slept the night before the exam. ​Hours, x 3 5 2 8 2 4 4 5 6 3 ​Scores, y 65 80 60 88 66 78 85 90 90 71   Draw a scatter plot for this data – technology can be used Find the correlation coefficient. Does this show the existence in a linear relationship? Why or why not Find the least-squares regression line for the given data. Include a rough sketch of this line in your graph. Explain the meaning of the slope of this line. Explain the meaning of the y intercept of this line. What would be the predicted score for a history student who slept 7 hours the previous night? Is this a reasonable question? Why or why not What would be the predicted score for a history student who slept 12 hours the previous night? Is this a reasonable question? Why or why not Assuming the residuals are normally distributed. Test whether a linear relationship exists between the amount of sleep and the exam score.

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
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The data below are the final exam scores of 10 randomly selected history students and the number of hours they slept the night before the exam.

​Hours, x 3 5 2 8 2 4 4 5 6 3
​Scores, y 65 80 60 88 66 78 85 90 90 71

 

  1. Draw a scatter plot for this data – technology can be used
  2. Find the correlation coefficient.
  3. Does this show the existence in a linear relationship? Why or why not
  4. Find the least-squares regression line for the given data.
  5. Include a rough sketch of this line in your graph.
  6. Explain the meaning of the slope of this line.
  7. Explain the meaning of the y intercept of this line.
  8. What would be the predicted score for a history student who slept 7 hours the previous night? Is this a reasonable question? Why or why not
  9. What would be the predicted score for a history student who slept 12 hours the previous night? Is this a reasonable question? Why or why not
  10. Assuming the residuals are normally distributed. Test whether a linear relationship exists between the amount of sleep and the exam score.
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