In each of the following cases, find the best predicted value of y given that x

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In each of the following cases, find the best predicted value of y given that x =2(x) the given statistics are summarized from paired from paired sample data r = -0.123, y = 8.00, n = 30, and the equation of the regression line is y^ = 7.00 - 2.00x. r = -0.567, y =8.00, n = 30, and the equation of regression line is y^ = 7.00 - 2.00x. chest sizes and weights of bears when eight bars were anesthetized, researchers measured the distances(in inches) around the bears chests and weighed the bears in pounds mini tab was used to find that the value of the linear correlation coefficient is r = 0.993 and the equation of the regression line is y^ = -187 + 11.3x, where x represents chest size. Also the mean weight of the eight bears 234.5 lb what is the best predicted weight of a bear with a chest size 52 in? systolic and diastolic measurements of females data set 1 in appendix B includes systolic and diastolic blood pressure measurement of 40females, excel was used to find that the value of the linear correlation coefficient is r = 0.785 and the regression equation is y^ = 8.31 + 0.534x, where x is the systolic reading .Also the mean of the diastolic reading is 67.4 what is the best predicted value for diastolic pressure given that a woman has a systolic level of 100? Finding the equation of the regression line. In exercises 5 and 6. Use the given data to find the equation of the regression line

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In each of the following cases, find the best predicted value of y given that x

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