The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 11 2.52.5 33 3.53.5 44 4.54.5 55 Midterm Grades 7272 7878 8383 9191 9595 9696 9797 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the
Hours Studying | 11 | 2.52.5 | 33 | 3.53.5 | 44 | 4.54.5 | 55 |
---|---|---|---|---|---|---|---|
Midterm Grades | 7272 | 7878 | 8383 | 9191 | 9595 | 9696 | 9797 |
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Find the estimated slope. Round your answer to three decimal places.
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