Given a regression equation of Y = 50.3 + 2.48 (X), a standard error of the estimate = 8.21, n = 10, the degrees of freedom = 8, and the following formula terms of (X – Xbar)2 = 8 and ?(X – Xbar)2 = 10 ..when X = 5, what is the 90% Confidence Interval and the 98% Prediction Interval?Confidence Interval (90%)Prediction Interval (98%)29.98 to 95.42 41.89 to 83.51 52.06 to 73.34 37.28 to 88.12 46.89 to 89.44
Given a regression equation of Y = 50.3 + 2.48 (X), a standard error of the estimate = 8.21, n = 10, the degrees of freedom = 8, and the following
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