Question 9 2 pts The 95% confidence interval for troubleshooting time with 8 hours of training is (15.180, 16.903). Inte
Posted: Sun Jun 05, 2022 10:44 am
Question 9 2 pts The 95% confidence interval for troubleshooting time with 8 hours of training is (15.180, 16.903). Interpret this interval with respect to the estimated troubleshooting time: i) We can be 95% confident that the average troubleshooting time by line workers receiving 8 hours of training is between 15.180 and 16.903 minutes. ii) The prediction interval for the troubleshooting time by line workers receiving 8 hours of training is wider than between 15.180 and 16.903 minutes. iii) We won't know if the average troubleshooting time by line workers receiving 8 hours of training captures the true mean, but we can expect 95% of the intervals we have calculated to capture the true population parameter.
receiving 8 hours of training is wider than between 15.180 and 16.903 minutes. iii) We won't know if the average troubleshooting time by line workers receiving 8 hours of training captures the true mean, but we can expect 95% of the intervals we have calculated to capture the true population parameter. iv) If we repeat this process many times, you'd expect to capture the troubleshooting time by line workers receiving 8 hours of training within 15.180 and 16.903 minutes. i and iv only ), il, ill only 1, and ly Tandill only Question 10 1 pts According to the data, a worker who received 8 hours of training had a troubleshooting time of 15 minutes. What is the value of the residual for this worker? -0.932 0.927 0.932 -0.98
Question 11 1 pts The standard deviation of the variation of observations around the regression line is estimated to be (Syx). note: Give answers in 4 decimal points
Use the following Statistical information and ANOVA for the next few questions An operations manager was interested in determining if there is a relationship between the amount of training received by production line workers and the time it takes for them to troubleshoot a process problem. A sample of recently trained line workers was selected. The number of hours of training time received and the time it took (in minutes) for them to troubleshoot their last process problem were captured. Below are the scatterplot, regression results, and residual plots for these data. Predictor Coef Cont Constant 30.729 1.023 30.03 0.000 Training -1.6360 0.1376 -13.35 0.000 1.43588 X-Sq93.20 R-q(adj) - 92.76 Analysis of Variance Source DF SS Regression 1367.20 367.20 178.10 8.000 Residual Error 13 26.00 2.06 Total 24 394.00 Scatterplot of Trouble Shooting vs Training Troking Troubleshooting
0 Question 1 The Regression Equation is Trouble Shooting - Training "note: Give your answers in "2" decimal points Question 2 1pts Based on the scatterplot, what is the relationship between training and troubleshooting? positive both positive and negative Ozero 3pts negative Question 3 2pts Based on scatterplot relationship, as amount of training troubleshooting time_ decreases, increases decreases, decreases increases, decreases increases, increases
D Question 6 3 pts From the output, write the equation of the regression equation that can be used to predict troubleshooting time. Troubleshooting time = Xtraining note: Give answers in 2 decimal points Question 7 2 pts For every additional hour of training time, the troubleshooting time will (increase/decrease) by minutes. note: Give answers in 2 decimal points Question 8 1 pts Predict the troubleshooting time for a line worker who received 8 hours of training. -1.836 15.98 13.35 13.76
Question 4 The data follows a regression is appropriate. Polynomial linear Clear curvature Question 5 3 pts Is there a significant relationship between time it takes to troubleshoot the process (minutes) and training received (use a = .05)? Ans: (Yes/NO). Give the appropriate test statistic 1 pts pattern so , associated P-value , and conclusion.
Question 6 3 pts From the output, write the equation of the regression equation that can be used to predict troubleshooting time. Troubleshooting time = Xtraining note: Give answers in 2 decimal points Question 7 2 pts For every additional hour of training time, the troubleshooting time will (increase/decrease) by minutes. note: Give answers in 2 decimal points Question 8 1pts Predict the troubleshooting time for a line worker who received 8 hours of training. -1.836 15.98 13.35 13.76
D Question 5 3 pts Is there a significant relationship between time it takes to troubleshoot the process (minutes) and training received (use a = .05)? Ans: (Yes/NO). Give the appropriate test statistic associated P-value and conclusion.
receiving 8 hours of training is wider than between 15.180 and 16.903 minutes. iii) We won't know if the average troubleshooting time by line workers receiving 8 hours of training captures the true mean, but we can expect 95% of the intervals we have calculated to capture the true population parameter. iv) If we repeat this process many times, you'd expect to capture the troubleshooting time by line workers receiving 8 hours of training within 15.180 and 16.903 minutes. i and iv only ), il, ill only 1, and ly Tandill only Question 10 1 pts According to the data, a worker who received 8 hours of training had a troubleshooting time of 15 minutes. What is the value of the residual for this worker? -0.932 0.927 0.932 -0.98
Question 11 1 pts The standard deviation of the variation of observations around the regression line is estimated to be (Syx). note: Give answers in 4 decimal points
Use the following Statistical information and ANOVA for the next few questions An operations manager was interested in determining if there is a relationship between the amount of training received by production line workers and the time it takes for them to troubleshoot a process problem. A sample of recently trained line workers was selected. The number of hours of training time received and the time it took (in minutes) for them to troubleshoot their last process problem were captured. Below are the scatterplot, regression results, and residual plots for these data. Predictor Coef Cont Constant 30.729 1.023 30.03 0.000 Training -1.6360 0.1376 -13.35 0.000 1.43588 X-Sq93.20 R-q(adj) - 92.76 Analysis of Variance Source DF SS Regression 1367.20 367.20 178.10 8.000 Residual Error 13 26.00 2.06 Total 24 394.00 Scatterplot of Trouble Shooting vs Training Troking Troubleshooting
0 Question 1 The Regression Equation is Trouble Shooting - Training "note: Give your answers in "2" decimal points Question 2 1pts Based on the scatterplot, what is the relationship between training and troubleshooting? positive both positive and negative Ozero 3pts negative Question 3 2pts Based on scatterplot relationship, as amount of training troubleshooting time_ decreases, increases decreases, decreases increases, decreases increases, increases
D Question 6 3 pts From the output, write the equation of the regression equation that can be used to predict troubleshooting time. Troubleshooting time = Xtraining note: Give answers in 2 decimal points Question 7 2 pts For every additional hour of training time, the troubleshooting time will (increase/decrease) by minutes. note: Give answers in 2 decimal points Question 8 1 pts Predict the troubleshooting time for a line worker who received 8 hours of training. -1.836 15.98 13.35 13.76
Question 4 The data follows a regression is appropriate. Polynomial linear Clear curvature Question 5 3 pts Is there a significant relationship between time it takes to troubleshoot the process (minutes) and training received (use a = .05)? Ans: (Yes/NO). Give the appropriate test statistic 1 pts pattern so , associated P-value , and conclusion.
Question 6 3 pts From the output, write the equation of the regression equation that can be used to predict troubleshooting time. Troubleshooting time = Xtraining note: Give answers in 2 decimal points Question 7 2 pts For every additional hour of training time, the troubleshooting time will (increase/decrease) by minutes. note: Give answers in 2 decimal points Question 8 1pts Predict the troubleshooting time for a line worker who received 8 hours of training. -1.836 15.98 13.35 13.76
D Question 5 3 pts Is there a significant relationship between time it takes to troubleshoot the process (minutes) and training received (use a = .05)? Ans: (Yes/NO). Give the appropriate test statistic associated P-value and conclusion.