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 0.50.5 11 2.52.5 33 4.54.5 55 5.55.5 Midterm Grades 8080 8888 8989 9292 9696 9898 9999 Table Copy Data Step 2 of 6:  Find the estimated y-intercept. Round your answer to three decimal places.

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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 0.50.5 11 2.52.5 33 4.54.5 55 5.55.5
Midterm Grades 8080 8888 8989 9292 9696 9898 9999

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Step 2 of 6: 

Find the estimated y-intercept. Round your answer to three decimal places.

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