The table below gives the number of absences and the overall grade in the class for seven randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for using the number of absences to predict a student's overall grade in the class. 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. Number of Absences Grade 1 3.7 2 3.3 3 3.1 4 2.9 6 2.4 7 2.2 8 1.9
The table below gives the number of absences and the overall grade in the class for seven randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for using the number of absences to predict a student's overall grade in the class. 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. Number of Absences Grade 1 3.7 2 3.3 3 3.1 4 2.9 6 2.4 7 2.2 8 1.9
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
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The table below gives the number of absences and the overall grade in the class for seven randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for using the number of absences to predict a student's overall grade in the class. 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.
Number of Absences Grade
1 3.7
2 3.3
3 3.1
4 2.9
6 2.4
7 2.2
8 1.9
1 3.7
2 3.3
3 3.1
4 2.9
6 2.4
7 2.2
8 1.9
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Transcribed Image Text:Step 3 of 6: Determine the value of the dependent variable y at x = 0.
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O bo
O bi
Ox
Oy
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