Trend Model: Demand 313 0.2364 (Month) Period 1 Forecast Error Sq Error Exponential Smoothing: a 0.4 1 Period Forecast 313.24 10.76 115.86 Error Sq Error #N/A #N/A #N/A 3-period Moving Average Perind 1 2 313.47 -2.47 6.11 2 324.00 -13.00 169.00 313.71 10.71 114.68 318.80 -15.80 249.64 HOLLA 313.95 0.05 0.00 312.48 1.52 2.31 312.67 314.18 8.82 77.76 5 313.09 9.91 98.25 309.33 6 314.42 -1.42 2.01 6 317.05 -4.05 16.43 313.33 7 314.65 -12.65 160.14 L 315.43 -11.43 180.41 316.67 1467 314.89 0.11 0.01 310.06 4.94 24.41 315 312.67 2.33
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- Define Estimation of Dynamic Multipliers Under Strict Exogeneity?An industrial product is packaged in batches of units each. The number ofdefective units within each batch is unknown. Since checking whether aunit is defective or not is expensive, the quality control consists in selectingunits of the batch and obtaining an estimation of the number of defectiveunits within the batch. The batch is rejected if the estimated number ofdefective units exceeds . a. Find the moment estimator of the number of defective units within aparcel.b. If N=20, n=5, and among these units 2 of them are defective, is thebatch rejected?Enter T for true or F for false. In multiple regression as in simple linear regression we use ANOVA to test individual partial regression coefficients for their significance in explaining the data. _____ Multicollinearity is a condition where two or more of the independent variables in the data are correlated. One of the ways this can show up in data analysis is in stepwise regression where addition of another explanatory variable causes partial regression coefficients of variables already in the regression to change substantially. _____ The prediction interval in multiple regression is a confidence interval around a specific value of y. _____ The confidence interval in multiple regression is centered on the regression-predicted value of y. _____ If a histogram of residual values is symmetric and bell shaped, this is evidence that the regression is reasonable. _____
- A critical resource in a manufacturing operation experiences a very high traffic intensity during the shop’s busiest periods. During these periods the arrival rate is approximately 57 jobs per hour. Job processing times are approximately exponentially distributed with mean 1 minute.a. Compute the expected flow time in the system assuming an FCFS processing discipline, and the expected flow time under SPT using Figure 9–13.b. Compute the probability that a job waits more than 30 minutes for processing under FCFS.c. Using a normal approximation, estimate the probability that a job waits more than 30 minutes for processing under LCFS.(a) Compute the least-squares regression line for predicting U.S, emissions from non-U.S. emissions. Round the slope and y-intercept values to four decimal places.Butz et al. evaluated the duration of benefit derived from the use of noninvasive positive-pressure ventilation by patients with amyotrophic lateral sclerosis (ALS) on symptoms, quality of life and survival. ALS, aka Lou Gehrig's Disease, is a degenerative disease of the motor neurons. One of the variables of interest is partial pressure of arterial carbon dioxide (PaCO2). The values below (measured in mm Hg) reflect the results of baseline testing on 20 of the 30 subjects in the study, as established by arterial blood gas analyses. (Am. J Med. Rehab. 2003, 82:597-604) 40 47 34 42 54 48 54 57 58 4554 54 43 44 63 42 33 43 52 38 Find the skewness and kurtosis using Excel or Matlab. And Determine if the data are too skewed or too leptokurtic or platykurtic. Also, Determine the coefficient of variation.
- Butz et al. evaluated the duration of benefit derived from the use of noninvasive positive-pressure ventilation by patients with amyotrophic lateral sclerosis (ALS) on symptoms, quality of life and survival. ALS, aka Lou Gehrig's Disease, is a degenerative disease of the motor neurons. One of the variables of interest is partial pressure of arterial carbon dioxide (PaCO2). The values below (measured in mm Hg) reflect the results of baseline testing on 20 of the 30 subjects in the study, as established by arterial blood gas analyses. (Am. J Med. Rehab. 2003, 82:597-604) 40 47 34 42 54 48 54 57 58 4554 54 43 44 63 42 33 43 52 38 Draw a boxplot of the data. You may use a computer program for this step and Find the skewness and kurtosis using Excel or Matlab.Butz et al. evaluated the duration of benefit derived from the use of noninvasive positive-pressure ventilation by patients with amyotrophic lateral sclerosis (ALS) on symptoms, quality of life and survival. ALS, aka Lou Gehrig's Disease, is a degenerative disease of the motor neurons. One of the variables of interest is partial pressure of arterial carbon dioxide (PaCO2). The values below (measured in mm Hg) reflect the results of baseline testing on 20 of the 30 subjects in the study, as established by arterial blood gas analyses. (Am. J Med. Rehab. 2003, 82:597-604) 40 47 34 42 54 48 54 57 58 45 54 54 43 44 63 42 33 43 52 38 Draw a histogram of the data. You may use a computer program (Excel or Matlab) for this step. (Use Sturges' rule to determine a good number of bins, and a good bin range. Remember, bin ranges should be reasonable, like 15-19, not 13.4-18.3.) Hint: To create a histogram, you would first need to decide on the bin ranges. Since the data is numerical and ratio,…DEtermine if the statement is True or False regarding test on linear dependence of Y on X showed significant results 1. There is an expected gain in efficiency in using ANACOVA over ANOVA. 2. We may just proceed with the ordinary ANOVA on the response variable.