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  • https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/12%3A_Linear_Regression_and_Correlation/12.06%3A_Prediction/Prediction_(Exercises)
    \[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlat...\[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlation Coefficient Table, because \(r > 0.423\), \(r\) is significant, and you would think that the line could be used for prediction. What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?
  • https://stats.libretexts.org/Courses/El_Camino_College/Introductory_Statistics/12%3A_Linear_Regression_and_Correlation/12.06%3A_Prediction/Prediction_(Exercises)
    \[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlat...\[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlation Coefficient Table, because \(r > 0.423\), \(r\) is significant, and you would think that the line could be used for prediction. What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?
  • https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science/09%3A_Linear_Regression_and_Correlation/9.6%3A_Prediction/Prediction_(Exercises)
    \[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlat...\[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlation Coefficient Table, because \(r > 0.423\), \(r\) is significant, and you would think that the line could be used for prediction. What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?
  • https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/13%3A_Linear_Regression_and_Correlation/13.06%3A_Prediction/13.6.01%3A_Prediction_(Exercises)
    \[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlat...\[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlation Coefficient Table, because \(r > 0.423\), \(r\) is significant, and you would think that the line could be used for prediction. What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?
  • https://stats.libretexts.org/Courses/Long_Beach_City_College/Book%3A_STAT_227_-_Introductory_Statistics/Text/12%3A_Linear_Regression_and_Correlation/12.06%3A_Prediction/Prediction_(Exercises)
    \[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlat...\[\hat{y} = 1350 - 1.2x\] where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. If r is compared to the value in the 95% Critical Values of the Sample Correlation Coefficient Table, because \(r > 0.423\), \(r\) is significant, and you would think that the line could be used for prediction. What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?

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