In a simple linear regression based on 25 observations, the following information is provided: y=-6.81 + 1.19x and Se = 2.29. Also, se (j' evaluated at x = 25 is 1.61. [You may find it useful to reference the t table.) a. Construct the 95% confidence interval for Ely) if x = 25. (Round intermediate calculations to at least 4 decimal places, "ta/2, df" value to 3 decimal places, and final answers to 2 decimal places.) Confidence interval to b. Construct the 95% prediction interval for yif x= 25. (Round intermediate calculations to at least 4 decimal places, "ta/2, df" value to 3 decimal places, and final answers to 2 decimal places.) Prediction interval to c. Which interval is narrower? O Prediction interval, since it does not include the variability caused by the error term. Confidence interval, since it does not include the variability caused by the error term. O Confidence interval, since it includes the variability caused by the error term.
c. Which interval is narrower? O Prediction interval, since it does not include the variability caused by the error term. O Confidence interval, since it does not include the variability caused by the error term. O Confidence interval, since it includes the variability caused by the error term. O Prediction interval, since it includes the variability caused by the error term.
In a simple linear regression based on 25 observations, the following information is provided: y=-6.81 + 1.19x and Se =
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In a simple linear regression based on 25 observations, the following information is provided: y=-6.81 + 1.19x and Se =
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