regression analysis: simplify complex data relationships coursera weekly challenges 1 answers
Test your knowledge: PACE in regression analysis
1. In regression modeling, which statement describes the PACE plan stage?
- Examining data more closely to choose an appropriate model
- Preparing formal results and visualizations for stakeholders
- Building the regression model in a coding language
- Understanding the data in the context of a problem
2. In which PACE stage does a data professional initially check the model assumptions?
- Construct
- Analyze
- Plan
- Execute
3. What three tasks typically occur during the PACE construct stage? Select all that apply.
- Evaluate the model results
- Re-check and confirm the model assumptions
- Build the model
- Present the visualizations to stakeholders
Test your knowledge: Linear regression
4. What technique estimates the linear relationship between a continuous dependent variable and one or more independent variables?
- Causation
- Intercept
- Model validation
- Linear regression
5. Which of the following statements accurately describe dependent and independent variables? Select all that apply.
- The dependent variable is the variable the given model estimates.
- Independent variables are also referred to as explanatory or predictor variables.
- The independent variable tends to vary based on the values of dependent variables.
- The dependent variable tends to vary based on the values of independent variables.
6. What term describes an inverse relationship between two variables?
- Positive correlation
- Slope
- Negative correlation
- Intercept
7. Fill in the blank: The goal of regression analysis is to use math to define the _____ between the sample X’s and Y’s in order to understand how the variables interact.
- relationship
- independence
- value
- model
Test your knowledge: Logistic regression
8. What is a nonlinear function that connects or links a dependent variable to the independent variables mathematically?
- Relationship function
- Link function
- Loss function
- Regression function
9. What type of regression models a categorical variable based on one or more independent variables?
- Coefficient regression
- Linear regression
- Ordinary regression
- Logistic regression
Weekly challenge 1
10. Fill in the blank: Regression models are groups of _____ techniques that use data to estimate the relationships between a single dependent variable and one or more independent variables.
- coding
- statistical
- application
- exploratory data
11. Fill in the blank: To justify the use of particular data techniques, _____ must be true.
- linear models
- model assumptions
- independent assumptions
- model functions
12. A data professional creates a model in Python and rechecks the model assumptions. What PACE stage are they working in?
- Execute
- Analyze
- Construct
- Plan
13. What technique estimates the relationship between a continuous dependent variable and one or more independent variables?
- Linear regression
- Logistic regression
- Complex regression
- Ethical regression
14. Which of the following statements accurately describe dependent and independent variables? Select all that apply.
- Dependent variables are typically represented by Y.
- Dependent variables tend to vary based on the values of independent variables.
- Independent variables tend to vary based on the values of dependent variables.
- Independent variables are typically represented by Y.
15. What is a relationship between two variables that tend to increase or decrease together?
- Positive correlation
- Negative causation
- Positive causation
- Negative correlation
16. A data professional reviews existing samples of data for both the dependent and independent variables. What is the term for this data sample?
- Intercepts
- Link functions
- Parameters
- Observed values
17. Fill in the blank: _____ is a technique that models a categorical variable based on one or more independent variables.
- Slope regression
- Coefficient regression
- Linear regression
- Logistic regression
18. What is a nonlinear function that connects the dependent variable to the independent variables mathematically?
- Link function
- Coefficient regression
- Coefficient function
- Link regression
20. A data professional closely examines their data to choose a model that is appropriate to the problem they want to solve. What PACE stage are they working in?
- Plan
- Construct
- Analyze
- Execute
21. Fill in the blank: _____ is a technique that estimates the relationship between a continuous dependent variable and one or more independent variables.
- Linear regression
- Logistic regression
- Complex regression
- Ethical regression
22. Which of the following statements accurately describe dependent and independent variables? Select all that apply.
- A dependent variable is also called the explanatory or predictor variable.
- A dependent variable is typically represented by Y.
- An independent variable is also called the response or outcome variable.
- An independent variable is typically represented by X.
23. What describes a relationship in which one variable directly leads another to change in a particular way?
- Correlation
- Intercept
- Slope
- Causation
24. A data professional reviews the estimated betas, often designated with a hat symbol. What is the term for this estimated beta?
- Slope coefficients
- Regression intercepts
- Parameter intercepts
- Regression coefficients
25. What technique models a categorical variable based on one or more independent variables?
- Slope regression
- Linear regression
- Logistic regression
- Coefficient regression
26. In order to justify the use of particular data techniques, a data professional is developing statements about data that must be true. What does this scenario describe?
- Creating dependent functions
- Creating model assumptions
- Creating model functions
- Creating dependent assumptions
27. A data professional considers what data they have access to and how to view that data in a problem context. What PACE stage are they working in?
- Construct
- Execute
- Analyze
- Plan
28. A data professional wants to connect the dependent variable and independent variable mathematically. What function can enable them to make this connection?
- Coefficient regression
- Link regression
- Link function
- Coefficient function