In A Multiple Linear Regression With 40 Observations The Following Sample Regression Equation Is Obtained 11 7 2 1x1 1 (38.46 KiB) Viewed 33 times
In a multiple linear regression with 40 observations, the following sample regression equation is obtained: 11.7+2.1x1 - 1.7x2 with se = 5.40. Also, when x₁ equals 14 and x2 equals 6, se (⁰) = 2.50. (You may find it useful to reference the t table.) a. Construct the 95% confidence interval for Ely) if x₁ equals 14 and x2 equals 6. (Round final answers to 2 decimal places.) Confidence interval b. Construct the 95% prediction interval for y if x₁ equals 14 and x2 equals 6. (Round final answers to 2 decimal places.) Prediction interval
c. Which interval is wider? O O Prediction interval since it does not include the variability caused by the error term. Confidence interval since it includes the variability caused by the error term. Confidence interval since it does not include the variability caused by the error term. Prediction interval since it includes the variability caused by the error term.
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