The table below gives the number of hours five randomly selected
students spent studying and their corresponding midterm exam
grades. Using this data, consider the equation of the regression
line, yˆ=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 | 22 | 33 | 44 | 55 | 66 |
---|---|---|---|---|---|
Midterm Grades | 60 | 81 | 86 | 98 | 100 |
Step 5 of 6:
Find the error prediction when x=5. Round your answer to three decimal places.
The statistical software output for this problem is:
Hence,
Actual y value = 98
Predicted y value = 94.7
Therefore,
Error in prediction = Actual - Predicted = 98 - 94.7 = 3.300
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