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( = monthlymaintenance spending (dollars), Y = monthly machinedowntime (hours), and n= 15 copy machines areused in the following regression. (a) Formulatetheregression equation hat has beenfitted. (a) For atwo-tailedtest for zero slope, state the degrees of freedomand use Appendix D to find thecritical value at =.05. (c) What are your thoughts ontheslope? (d) nterprettheslope's 95 percent confidence limits. (e) Check that the slope is F =t 2. (f) Describe the regression's fit in your own words.

( = monthlymaintenance spending (dollars), Y = monthly machinedowntime (hours), and n= 15 copy machines areused in the following regression. (a) Formulatetheregression equation hat has beenfitted. (a) For atwo-tailedtest for zero slope, state the degrees of freedomand use Appendix D to find thecritical value at =.05. (c) What are your thoughts ontheslope? (d) nterprettheslope's 95 percent confidence limits. (e) Check that the slope is F =t 2. (f) Describe the regression's fit in your own words.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question 3 X = monthly maintenance spending (dollars), Y = monthly machinedowntime (hours), and n= 15 copy machines areused in the following regression. (a) Formulatetheregression equation that has beenfitted. (a) For atwo-tailed test for zero slope, state thedegrees of freedomand use Appendix D to findthecritical valueat =05. (c) What are your thoughts ontheslope? (d) Interpret the slope's 95 percent confidence limits. (e) Check that the slope is F =t 2. (f) Describe the regression's fit in your own words. $$ \begin{array}{I} \begin{array}{II} \mathrm{R}^{2} & 0.370 \\ \text { Std. Error } & 286.793 || \mathrm{n} & 15 \end{array}\\ \text { ANOVA table }\\ \begin{array}{Irrrr} \hline \text { Source } & \text { SS} & \text { df } & \text { MS } & F & p \text {-value } \\ \hline \text { Regression } & 628,298.2 & 1 & 628,298.2 & 7.64 & .0161 |\ \text { Residual } & 1,069,251.8 & 13 & 82,250.1 & & \\ \hline \text { Total } & 1,697,550.0 & 14 & & & \\ \hline \end{array}\\ \begin{array}{IIIrIII} \multicolumn{2}{I{\text {Regression output }} & & & \multicolumn{3}{c}{\text { confidence interval }} \\ \hline\text{variables }& \text { coefficients } & \text { std. error } & t(\text { df }=13) & p \text (-value } & 95 \% \text { lower } & 95 \% \text { upper} \\ \hline \text { Intercept } & 1,743.57 & 288.82 & 6.037 & .0000 & 1,119.61 & 2,367.53 || \text { Slope } & -1.2163 & 0.4401 & -2.764 & .0161 & -2.1671 & -0.2656 \end{array} \end{array}
Transcribed Image Text:Question 3 X = monthly maintenance spending (dollars), Y = monthly machinedowntime (hours), and n= 15 copy machines areused in the following regression. (a) Formulatetheregression equation that has beenfitted. (a) For atwo-tailed test for zero slope, state thedegrees of freedomand use Appendix D to findthecritical valueat =05. (c) What are your thoughts ontheslope? (d) Interpret the slope's 95 percent confidence limits. (e) Check that the slope is F =t 2. (f) Describe the regression's fit in your own words. $$ \begin{array}{I} \begin{array}{II} \mathrm{R}^{2} & 0.370 \\ \text { Std. Error } & 286.793 || \mathrm{n} & 15 \end{array}\\ \text { ANOVA table }\\ \begin{array}{Irrrr} \hline \text { Source } & \text { SS} & \text { df } & \text { MS } & F & p \text {-value } \\ \hline \text { Regression } & 628,298.2 & 1 & 628,298.2 & 7.64 & .0161 |\ \text { Residual } & 1,069,251.8 & 13 & 82,250.1 & & \\ \hline \text { Total } & 1,697,550.0 & 14 & & & \\ \hline \end{array}\\ \begin{array}{IIIrIII} \multicolumn{2}{I{\text {Regression output }} & & & \multicolumn{3}{c}{\text { confidence interval }} \\ \hline\text{variables }& \text { coefficients } & \text { std. error } & t(\text { df }=13) & p \text (-value } & 95 \% \text { lower } & 95 \% \text { upper} \\ \hline \text { Intercept } & 1,743.57 & 288.82 & 6.037 & .0000 & 1,119.61 & 2,367.53 || \text { Slope } & -1.2163 & 0.4401 & -2.764 & .0161 & -2.1671 & -0.2656 \end{array} \end{array}
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