Segmented regression

1. What are the least, and most, amount of distinct zeroes of a 7th degree polynomial, given that at least one root is a complex number? Answer: If the equation is 7th degree then it has 7 roots. Those roots can be complex or real. Complex roots always come in pairs, so if it has one, then it has 2, the other one being the conjugate of the first one. This in other words, if one complex root is a + bi, then the other complex root is a – bi. If at least one root were complex, then we would have a…

MIS 790 Comprehensive Exam Q1. To be able to build prediction models of botnet attacks, we had to decide information requirements. (a) What process did you use for identifying predictor variables for modelling botnet traffic flows? (b) What additional measures can be taken in terms of information (or data) gathering to further improve the accuracy of the prediction models? (a) I started with a literature survey and read articles to understand the problem and technical terms. To understand the…

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…

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…

RESULT & OBSERVATION The hypothesis for statistical testing must be written as Null hypothesis (H0) and Alternate (Research) hypothesis (H1) form. H0 1= There is no significant relationship between body height, foot length and knee height in both the sexes. H1 1= There is relationship between body height, foot length and knee height and are significant in both the sexes. H0 2= Body height is equally…

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…

2.5. Statistical analysis Multivariate analysis was performed using two algorithms: PCA and 2-D HCA heat map. The PCA, based on the correlation matrix, was performed using XLStat-Pro 2015 software. The 2-D HCA heat map was carried out with the ArrayTrack, and the Ward's minimum-variance method was used for runs and hydrocarbons clustering. A probability level of p=0.05 was considered as significant difference. The data obtained from the RSM on the hydrocarbon removal were subjected to the…

In other words, the regression weight for Brand Loyalty towards Purchasing Decision is significantly different from zero at the 0.001 level (two-tailed). Thus the hypothesis of Brand Loyalty towards Purchase Decision is significant and supported by the data. The other significance of the data can be shown from table 4.7, which is Perceived Quality. The probability of getting a critical ratio as large as 2.961 in absolute value is less than 0.003. In other words, the regression weight for…

Data analysis method First, using Kolmogorov-Smirnov Test to examine the normality of the variables in each of the hypotheses and assumptions of one to five using regression analysis and using software Spss18 and then fourth hypothesis using structural equation modeling (Path Analysis) using software Amos22 to confirm or refute the hypothesis of the research study. Hypotheses: 1. Empowerment dimension effect on turnover intention. 2. Interoperability dimensions have an effect on…

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…