QNT 275 Week 4 participation Final Exam Review

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QNT 275 Week 4 participation Final Exam Review
Week 4 Practice Problem #1

 

Team

 

Below is a problem that you may see on the Final Exam or the Quiz:

 

Which of the following violates the assumptions of regression analysis?

· The error term does not have the normal distribution.

· The error term has a constant variance.

· The error term is uncorrelated with an explanatory variable.

· The error term has a zero mean.

 

I chose the 1st option because there are 4 assumptions of Regression Analysis and the 1st option does not align to the 4 assumptions:

 

1. There is a linear relationship between the Independent and the Dependent Variable

2. There is a statistical indepedendence of errors

3. Homoscedasticity of the errors which means there is a constant variance

4. The Error does follow the Normal Distribution

 

What does the term Homoscedasticity mean?

 

 

Week 4 Practice Problem #2

 

Team

 

Below is a problem that you may see on the Final Exam or on the Quiz

 

In the sample regression equation   what is   ? 

 

 

· The value of y when x = 0

· The y-intercept

· The predicted value of y, given a specific x value

· The slope of the equation

 

Why would I have chosen the 3rd option? What is the relationship between X (the Independent Variable) and Y (the Dependent Variable)?

 

 

 

Week 4 Practice Problem #3

 

Team

 

Below is a problem that you may see on the Final or on the Quiz

 



 

 

What type of relationship is indicated in the scatterplot? 

 

· A positive linear or curvilinear relationship

· A negative linear relationship

· No relationship

· A negative curvilinear relationship

 

I picked the 1st option, because a positive relationship is illustrated on a Scatter Plot when the data points move from the bottom left to the upper right. What would a Negative Relationship look like if it was illustrated?

 

 

Week 4 Practice Problem #4

 

Team

 

 Below is a problem that you may see on the Final or on the Quiz:

 

Serial correlation is typically observed in: 

· sparse data

· cross-sectional data

· time series data

· outliers

 

Why would I have selected Time Series Data?

 
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