Descriptive statistics

Multicollinearity Multicollinearity is one of the common problems in spatial regression analysis. Sometimes some or all of the explanatory variable are highly correlated in the sample data, which means that it is difficult to tell which of them is influencing the dependent variable (Barrow, 2009, p. 306). Hence, to check whether the independent variables are correlated with each other, a correlation matrix for the three indicators was measured using excel. The correlation matrix in table 2…

THP-1 cells and THP-1 cell culture methodology were also provided by Ondek Pty Ltd. THP-1 cells were cultured in RPMI-10 culture medium. The first THP-1 cell culture was made by Dr Senta Walton, with a starting concentration of 2 x 105 cells/mL. The cell culture was then incubated at 37°C with 5% CO2 and subcultured every 2-3 days, when the cell concentration reached approximately 8 x 105 cells/mL. THP-1 cell based assay THP-1 cell based assay was performed to determine the immune modulatory…

Computer exercise one and two Nominal level data was identified based on the parameters that it is mutually exclusive and exhaustive. It cannot be ranked but it maybe assigned a number such as one or two for classification purposes Burns, Grove, Gray (2013), Using the bladder study provided in SPSS, nominal level data were identified as, education level, ethnicity, zip code and marital status. Two modes were identified from the nominal level data. For ethnicity the mode was African American (n…

The problem this study is addressing is that in the physics classroom of a suburban high school, the teacher has access to enough laptop computers for every student to be able to use one, but does not use them because he does not know how to incorporate them into instruction or if they will be helpful in increasing learning. The purpose of this study is to find out if incorporating the laptops in a one to one computer based instruction will increase student achievement and motivation. The…

Students were asked to create a dog pen with the biggest area. They had to make sure that they would have enough fencing material to cover a perimeter of 40 yards. With these 40 yards, students were asked to figure out the largest area for the dog to play in its pen. First, I know that we have 40 yards of fencing material. Our equation to finding out the perimeter of the the rectangle is 2W+2L=40. I also know that the formula for finding out the area is LW=A.The L variable stands for length and…

According to Treas & Wilkinson (2014) when using the BMI calculation of: BMI=weight in kilograms + (height in meters)2, Mrs. Jenkins BMI would equal 16.8 (p.924). “The normal BMI for adults ranges from 18.5 to 24.9” (Treas & Wilkinson, 2014, p. 924). The 16.8 BMI classifies Mrs. Jenkins as moderately underweight. Being underweight is when the patient “consumes fewer kcal than needed based on his activity, sex, height, and weight. Consuming too few kcal may result in serious undernutrition-that…

Self-efficacy has three dimensions: magnitude, the difficulty level of the task a person believes to attain; strength, the conviction regarding magnitude as strong or weak; and generality, the degree to which the expectation is generalized across situations (Redmond, 2016). Studies show the predictive and mediational role of self-efficacy beliefs in performing mathematical tasks successfully (Dullas, 2010; Galla & Wood, 2012; Guolao, 2014; Liu & Koirala, 2009; Pajares & Miller, 1994; Zimmerman,…

Results To assay whether the MLPA is able to accurately detect TS cases, we first analyzed a cohort of known mosaic TS patients (“pilot TS group”). Using this group, the ratio able to detect all the mosaicisms and X structural abnormalities was 0.76 at least in one probe (table 1). This ratio permitted to identify also the lowest grade of mosaicism (15%) (mos 45,X[15]/46,XX[85]) among the patients of the pilot TS group. Interestingly, in this population, the MLPA detected Y material presence in…

Using the figures in the table above, the following regression equation was obtained. Y = 0.668 + (-0.016) X1 + (0.185) X2 + (0.224) X3 + (0.118) X4 + (0.270) X5 Interpretation 1. A constant value of 0.668 indicates that if there is no independent variable (Reliability, Responsiveness, Assurance, Empathy, and Tangible), the dependent variable (customer satisfaction) is positive. 2. X1 regression coefficient = -0.016 means that if the service of dimensions X1 has decreased; the level of customer…

Introduction I. Attention Getter: Have you ever heard the name Lucky Lindy or the Lone Eagle? II. Thesis: Today I will be talking about the great American aviator Charles Lindbergh. III. Preview: Charles Augustus Lindbergh was born on February fourth 1902. Although he was born in Detroit Michigan he spent most of his childhood in Little Falls Minnesota in Washington DC. His father whose name was also Charles Lindbergh was a US congressman from 1907 until 1917. At a young age Charles Augustus…