Use the following to answer questions 1-5: A study was conducted to monitor the emissions of a noxious substance from a chemical plant and the concentration of the chemical at a location in close proximity to the plant at various times throughout the year. A total of 14 measurements were made. Computer output for the simple linear regression least-squares fit is provided (some entries have been omitted and replaced with **): Linear Fit Concentration = 1.5429211 + 1.8247687 Emissions Summary of Fit RSquare 0.793919 RSquare Adj 0.776745 Root Mean Square Error 1.513979 Mean of Response 8.810714 Observations (or Sum Wgts) 14 Analysis of Variance Source DF Sum of Squares Mean Square F Ratio Model 105.96390 46.2294 Error Prob > F C. Total 133.46949 5,0001 Parameter Estimates Tern Estimate Std Error t Ratio Probst Intercept 1.5429211 1.14293 0.2019 Emissions 1.8247687 0.268379 .0001 1. The degrees of freedom for SSM and SSE are, respectively: A) DFM = 2, DFE = 12. DFM = 1, DFE = 12. D) DFM = 1, DFE = 14. B) E) DFM = 12, DFE = 13. DFM = 1, DFE = 13. Ans: 2. What is the value for the SSE? A) 27.50559 B) 10.26688 C) 1.142937 D) 2.292 E) Unable to determine with the information provided. Ans: 3. What is the estimate of Of ? A) 1.514 B) 1.143 C) 0.794 D) 2.292 E) 27.506 Ans: 4. What is the test statistic and its value to test Ho: Pi=0 against H.: P 07 A) F= 46.2294 B) *= 6.80 C) /=1.35 D) F=3.8524 E) Either A or B. Ans: 5. What is the 95% confidence interval estimate for Do? A) (1.24, 2.41) B) (-0.49, 3.58) C) (1.35, 2.39) D) (-0.95, 4.03) E) (-1.76, 4.84) Ans