Chapter 14: Problem 24
The accompanying Minitab output results from fitting the model described in Exercise 14.14 to data. \(\begin{array}{lrrr}\text { Predictor } & \text { Coef } & \text { Stdev } & \text { t-ratio } \\ \text { Constant } & 86.85 & 85.39 & 1.02 \\ \text { X1 } & -0.12297 & 0.03276 & -3.75 \\ \text { X2 } & 5.090 & 1.969 & 2.58 \\\ \text { X3 } & -0.07092 & 0.01799 & -3.94 \\ \text { X4 } & 0.0015380 & 0.0005560 & 2.77 \\ S=4.784 & \text { R-sq }=90.8 \% & \text { R-sq(adj) }=89.4 \%\end{array}\) Analysis of Variance \(\begin{array}{lrrr} & \text { DF } & \text { SS } & \text { MS } \\ \text { Regression } & 4 & 5896.6 & 1474.2 \\ \text { Error } & 26 & 595.1 & 22.9 \\ \text { Total } & 30 & 6491.7 & \end{array}\) a. What is the estimated regression equation? b. Using a .01 significance level, perform the model utility test. c. Interpret the values of \(R^{2}\) and \(s_{e}\) given in the output.
Short Answer
Step by step solution
Key Concepts
These are the key concepts you need to understand to accurately answer the question.