below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. 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
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the
| Hours Unsupervised | 00 | 0.50.5 | 11 | 1.51.5 | 33 | 5.55.5 | 66 |
|---|---|---|---|---|---|---|---|
| Overall Grades | 9999 | 9797 | 8080 | 6969 | 6464 | 6363 | 6262 |
Find the estimated y-intercept. Round your answer to three decimal places.
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