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

19. How many dependent variables typically exist in a regression model?

  • Two
  • Three
  • Four
  • One

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

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