Hierarchical linear modeling

ingredients, including chili beans and ground beef. The number of 100-gallon batches of Razorback chili (x1) and Longhorn chili (x2) that can be produced daily is constrained by the availability of chili beans and ground beef, as shown in the following linear programming model: maximize Z = 200x1 + 300x2 (profit, $) subject to 10x1 + 50x2 … 500 (chili beans, lb.) 34x1 + 20x2 … 800 (ground beef, lb.) x1, x2 Ú 0 The final optimal simplex tableau for this model is as follows: cj 300 200 Basic…

of three months. Notably, forecasting entails application of simple linear regression in order to understand the underlying relationship between sales volumes and number of hits on the company’s website. In this case, an Excel worksheet is used to analyze the data, and to forecast the sales based on the data collected on the number of hits. Chase (2013) explains that forecasting in business scenarios entails…

Linear programming which is also known as “Linear Optimization” is a way to achieve best outcomes in a Mathematical Model using different linear solutions .Linear Programming is a special case of Mathematical Optimization .Linear programming can be applied to a wide variety of fields of study, and has proved useful in planning, routing, scheduling, assignment, and design, such as in transportation or manufacturing industries. The method of Linear Programming was originally developed by American…

Variance Decomposition Analysis The variance decomposition analysis has applied to quantify the extent up to which the selected indices one influenced by each other. We can also examine the short run dynamic relationship by variance decomposition. While impulse response functions trace the effects of a shock to one endogenous variable in the VAR, variance decomposition separates the variation in an endogenous variable in to the component shocks to the VAR. Thus, the variance decomposition…

I can see that there appears to be a clear linear trend with a positive relationship. Therefore, it would be sensible to use a linear regression model to investigate the relationship. This shows that as the height of the saplings increases, so does the diameter of the saplings at breast height. The rate of increase is not consistent, and the spread of the data increases as the podocarp height does. An interesting point to note…

Theoretical Framework The Proportional Odds Model A binary logistic regression model estimates the odds and the probability of experiencing an event for the dichotomous outcome variable on a set of predictors. The logistic regression model is defined as: ln(Y′) = logit [π(x)] = ln = α + β1X1 + β2X2 + …+ βpXp. (1) where logit [π(x)] is the log odds of success, and the odds is a ratio between the probability of having an event and the probability of not having that event.…

FastCat Compensation Case Phase 2: External Competitiveness Presented to Oliver Stoutner, M.B.A. HR Practicum I: Compensation and Benefits MGT 4250-01 Presented By Morgan Tullis Kimberly Bowers Ashlie Hawes Travis Stone Rachel Kipling Step 1: Recommend Strategy for Competitiveness When determining a compensation strategy for FastCat, we decided the best option would be to have a job-based structure. The reason for this is that we want to focus on our internal pay structure and measure them…

determined when the linear regression analysis was used, showing the acceleration, acceleration standard error, intercepts, and Intercept Standard Errors of the truck shown below. Acceleration, a (m/s) Acceleration Standard Error [±m/s^2] Intercept [m/s] Intercept Standard Error [±m/s] 0.4750 0.01182 0.06267 0.2200 The residual mean and the residual standard error have also been calculated. This has been displayed in Table 5. Table 5 –The results that were determined when the linear…

The sample for this study was 17,877 patients which were scheduled for ambulatory surgery. Two hundred thirty-nine patients were excluded as an effect of surgery cancellation or partial data; consequently, 17,638 patients were included. This study was conducted to all ambulatory surgical outpatients with ASA physical status I–III aged >12 year. This study aimed to identify if patient characteristics, surgical factors, or the development of adverse events had the most significant effect on…

1. The Bronze Age Civilization of the Aegean took place during ca. 3000-1200 B.C.E This time period consisted of two civilizations, the Minoan (ca. 2000-1400 B.C.E.) and the Mycenaean (ca. 1600-1200 B.C.E). On the island of Crete, the Minoan civilization was centered in the palace of Minos at Knossos. This culture was thriving and traveled by sea quiet often. The palace consisted of frescoes demonstrating numerous aspect of Cretan life. Of all the frescoes in the palace the most recognized is…