
- Description
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:
- There is a linear relationship between the Independent and the Dependent Variable
- There is a statistical indepedendence of errors
- Homoscedasticity of the errors which means there is a constant variance
- The Error doesfollow 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 ywhen 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?