Regression analysis

3. Results and discussion 3.1. Effect of pH on the percent extraction values of Sn(II) by SbS-DET. The effect of pH of reacting species such as metal ions and ligands for the formation of metal complexes is known to play a significant role in their removal and extraction processes [24]. To evaluate and identify the possible contribution of pH value of metal ion on the SbS-DET process for the formation of Sn(II)–(8HQ)2 complex via complexation and removal of Sn(II) from aqueous…

First we will provide some information about Malta and the uninhabited islands before discussing the instruments and the multi-criteria analysis. Malta’s land area is 316 square kilometres. The three biggest uninhabited islands are: Malta, Gozo and Comino, but there are way more. St Paul’s Island (0,101 km2), Cominotto (0,099 km2), Halfa Rock (two meters above sea-level), Old Battery’s Rock, Lantern Point Rock (height of 7 meters), Large Blue Lagoon Rock, Small Blue Lagoon Rocks, Devil’s End…

In the next step, the graded response IRT model will be analyzed again for each identified domain, but without the excluded items, and the model fit statistics will be assessed. If the model has a good fit statistics, the best item for each domain will be selected according to the distribution of the threshold values across the latent scale and the discrimination value; item that has threshold values cross the whole latent scale and high discrimination value will be selected. Sample Size Graded…

Temporal outliers are common trajectories that follow the populated route, but with an important difference of the speed compared to the other common trajectories. For extracting such type of outliers, we make use of the average speed used by the moving objects in the populated route, we make comparison between each sub-trajectory from the common trajectories and the average speed for all common trajectories that traverse the same route with some tolerance, and we extract two essential types;…

widely employed parametric methods are stochastic frontier approach (SFA), thick frontier approach (TFA) and distribution-free approach (DFA). On the other hand, the commonly used non-parametric techniques are free disposal hull analysis (FDH) and Data Envelopment Analysis (DEA). This paper follows the DEA nonparametric approach. In this regard, Farrell (1957) originally developed this non-parametric efficiency approach. The DEA is non-parametric in the sense that it simply…

Axiom of choice was formulated by Zermelo in 1904 and is known as Zermelo’s axiom of choice. This axiom stated that we can choose a member from each set in a collection of nonempty disjoint sets, C (Schechter, 2009). Additionally, according to Janes (2008), there exists a set X which consisting of one element taken from each set belonging to Y given that any nonempty set Y members are pairwise disjoint sets. Taking a role as a basic assumption used in many parts of mathematics as stated by…

Q1) What type of reinforcement schedule does random drug testing represent? Is this type of schedule typically effective or ineffective? The type of reinforcement schedule that random drug testing represents is the Variable-Interval(VI) schedule of reinforcement. In Variable Interval schedule a response is rewarded after an unpredictable amount of time has passed. This type of schedule is done randomly and is unexpected. The word random used in this case itself represents the schedule. Variable…

2.4. Data Analysis For the analysis of the quantitative data, one-way ANOVA, Chi-Square test of independence and descriptive statistics were applied. For ANOVA, in order to determine which groups caused the significant difference, Tamhane T2 test, one of the most common post hoc (multiple comparison) tests, was used. For the normal distribution of data, the skewness and kurtosis coefficients were examined. For the normality test skewness coefficient of a distribution taken in the range of -1.5…

Explain TABLE REGRESSION Table 4.9: Result of simple linear regression between level and ovitrap index Variable SLR Level b (95% CI) p-value -2.5 (-7.7, 2.9) 0.236 R2 = 0.421. The model not fit well: Model assumption are not met There is statistically no significant linear relationship between level and ovitrap index (p= 0.236). The increase of the multi –storey house level is not associated with the ovitrap index level. With level, the model explains 42% of variation of the ovitrap…

Table 4.2 System suitability results for Lamivudine, Zidovudine and Nevirapine Parameters Lamivudine Zidovudine Nevirapine Retention time 2.327 2.864 5.608 Area 212473 338930 228426 USP Plate count 2715.09 3350.07 4979.51 USP Tailing 1.38 1.32 1.18 4.3.1.2 Linearity A linear correlation coefficient factor was obtained between the concentrations of Lamivudine, Zidovudine and Nevirapine versus the peak area. The calibration curves were linear for concentrations between 15-150 µg/mL. The linearity…