Regression

Autocorrelation is not expected to be an issue with the model, given that the it is not using time series data, and it can therefore be assumed that there is no autocorrelation present in the model. To make sure that there is no perfect collinearity present in the model, it is recommended to run a collinearity test of the model (see: Exhibit 1.1). If a variable generate a VIF (Variance Inflation Factors) value above 10.0, the model might have a collinearity problem and attempts to correct the…

Computations and Interpretation Mean = 7.02. After analyzing the scores of my population, I found that the mean average was 7.02 out of 10. This implies that the average student earned a “C” or 70% in the quiz. If I remove the outlier that consists of 0 out of 10 I believe that the average score would increase to a more meaningful average score. Median = 7. The median depicts how the center of all scores achieved was a “C”. The median may be a score or average of two, that is the farthest…

Regression Analysis Regression analysis is a statistical technique used to study the relationship between variables (Draper, & Smith, 2014). It is often of interest to know the effect that one or several variables can cause on another, and even to predict, to a greater or lesser degree, values of one variable from another. Regression is the set of techniques used to explore and quantify the dependency relationship…

Is your car an asset? Should you include it in your net worth calculation? How do you know what it’s worth and how much it’s depreciating? The short answer is yes, generally, your car is an asset. But it’s a different type of asset than other assets. Your car is a depreciating asset. Your car loses value the moment you drive it off the lot and continues to lose value as time goes on. Why is my car an asset? Broadly defined, an asset is anything you own. You own your car. Therefore, it’s an…

In today’s society there are many things that impact our views on people and their race. One way that impacts our judgment is implicit attitudes. These attitudes are defined as an assessment towards objects or people that occurs without being consciously aware. To help measure how much implicit attitudes affect people’s judgment three professors: Anthony Greenwald, Mahzarin Banaji, and Brian Nosek co-created the Implicit Association Test. The Implicit Association Test, or the IAT test, is…

To validate the data, one of the main assumptions of the Classical Linear Regression Model i.e. Multicollinearity was checked by using the correlation matrix. Table 5.2.1 – Correlation Matrix 1 (Pearson, Kendall and Spearman) In the above matrix it can be observed that there is presence of Multicollinearity because of high correlation between, M3, Gold Price and WPI and Index of Industrial Production therefore as a remedial measure the above mentioned variables are removed from the analysis.…

5). Regression analysis showed a negative R2 between air permeability versus pull-off strength in the control unpainted specimens (Table 1). This indicated that as the permeability increased, the adhesive was more penetrated into the wood texture and failed to…

There is a signal $S$ that additively regulates two parallel pathways, $X$ and $Y$. Both $X^*$ and $Y^*$ additively regulate the production of $R^*$, the response. The equations governing the module are given by Ignoring the diffusive terms, these equations can be represented by the following matrices, When applying the program to this module, we reach the conclusion that the family is $S$-injective, on the first iteration, with the determinant criterion. There is a signal $S$ that…

Another microaggression conveys how Rankine stays quiet to maintain American social construct. While Rankine drives an associate home, he complains about needing to hire a colored person. Rankine contemplates this conversation’s purpose because she doesn’t know what she did to provoke this conversation. Her associate’s complaint causes her extreme discomfort and shock, triggering her intentional silence. Unlike the previous example with her friend, the shocked silence ends quickly and…

I carried out a linear regression t-test using my GDC. The linear regression t-test is used to test if there is a significant linear relationship between an independent variable and a dependent variable. Therefore I will be making use of this test to see if there is a significant linear relationship between the budget and the gross of a movie budget. Below is the linear regression t-test that I carried out. LINEAR REGRESSION T-TEST To carry out a linear regression t-test, I will need to come…