REGRESSION ANALYSIS R-squared is a statistical measure of how close the data are in the fitted regression line. The definition of R-squared is the percentage of the response variable variation that is explained by a linear model. OR R-sequared is always between 0 and 100%; where 0% indicates that none of the variables of the response data around its mean, where as, 100% indicates that all the variability of the response data around its mean. Usually, the higher the R-squared, the better the model fits the data, however, in some fields, it is entirely expected that the R-squared values will be low. For example, any field that attempts to predict human behavior, such as psychology, typically has R-squared value lower than 50%, this is because
The Z product was a liquid, while the E product was a solid. The final product weight for percent yield was only the solid E product, which missed one half of the final product produce. If both products were weight, the percent yield would have been larger that it was. Instead of 22.33%, it could have been 44.66%. To prove that both products were obtained, but only one of the two products was analyze, a TLC plate of the DCM layer, that contains both products, and of the final product, was obtain.
the objective function was Equation (1-4). The goal of this optimization was to achieve a situation of independent variables (field strength, retention time, power of ultrasound and sonication time), in which with the lowest energy consumption, the amount of E. coli in the sample is equal to zero. Boundary conditions specified in optimization was that the values of the independent variables are in the range of the experiment. All independent and dependent variables by reason of the same importance, the weight of one was given, and at the end, minimizing the value of the objective function was selected (Table 4-2). The optimum values for field strength, retention time, power of ultrasound and sonication time were equal to 10 kv/cm, 35s, 185.90 w, 4.47 min, respectively.
This calculated value of n came out to be 0.5057. There were also two different methods for solving for the value of K using the best fit line given in Figure 1. By finding where the first K is equal to 1 and seeing what the Q value is at this given point, K can be solved. As said above when H equals 1 the Q value is the same as the K value. The K value was calculated to be 4.7.
On the Asymptomatic significance test, the significance level is 0.05. Table showing the hypothesis summary Hypothesis Test Summary Null Hypothesis Test Sig. 1 Median of differences between the GPA and the final equals 0 Related-samples Wilcoxon Signed rank test .000 Reject the null hypothesis Section 4: Interpretation Table Showing the Correlation output: Correlations GPA final gender total gpa Pearson Correlation 1 .499** -.193*
Competitive Advantage and Long-term Vision As the Allstar brand continues to be one of the leading Pharmaceutical companies who manufactures quality over the counter (OTC) cold and allergy medicine, our long-term vision is to build and gain a competitive advantage over the top competitor in the business marketplace. By gaining and maintaing a great competitive advantage, this will enable Allround to increase their market share and profitability. One way the company plans on reaching these long-term goals is by investing more in marketing. Focusing on increasing both the direct and indirect sale force. The new merchandisers will provide special support to retailers for their in-store activities, such as shelf location, pricing, and compliance
At this point, the change in pH with respect to volume was minimal since these values were far from the equivalence point, which occurred experimentally at 27.41 mL. This can also be seen on the graph as the plateau before the inflection point occured. To calculate the Ka of the acid, the following formula is
Porter’s Five Force Model Porter’s five force model is the model that shows the competitive environment of any firm. This model is essential for the Meso analysis. It distinguishes the market attractiveness of the business. This model is invented to determine the market attractiveness, how attractive is the market where all the competitors are in. This model was invented in 1979 by Michel Porter.
• Vietnam has been a member of WTO and a TTP trade agreement: these practices promote more competition and provide more mode of entry alternatives for new firms into Vietnam markets (KPMG, 2015). • Private consumption is developing strongly; enhanced by increased consumer confidence and low inflation (Asian Develop Bank, 2015). • Sales in retail sector increased 9.8% in January – September 2015 compared with previous year (Bloomberg,
Porter. This analysis is used to measure the level of competition of the company in same industry. Abundant of economic studies stated that different industries can survive at different profitability level, the difference is explained by industry structure ("Porter 's Five Forces," n.d.). In other words, this model identifies industry structure based on the varied profit margins between industries, to help the company determines corporate strategy ("Industry Analysis | Porter’s Five Forces | Competition," 2014). The objective in this analysis is to help managers determine profitability and attractiveness of an industry (Investopedia, n.d.).