regression analysis: simplify complex data relationships coursera weekly challenges 4 answers

Test your knowledge: The chi-squared test

1. The chi-squared goodness of fit test determines whether an observed categorical variable follows an expected distribution.

  • True
  • False

2. Which test determines whether two categorical variables are associated with each other?

  • Chi-squared test for dependence
  • Chi-squared alternative of fit test
  • Chi-squared goodness of fit test
  • Chi-squared test for independence

3. Fill in the blank: The chi-squared statistic equals the sum of the observed number minus the expected number, squared, divided by the _____ number.

  • observed
  • predicted
  • expected
  • hypothesis

Test your knowledge: Analysis of variance

4. Which of the following statements accurately describe t-tests and analyses of variance? Select all that apply.

  • A t-test can only test the difference of mean between two groups.
  • A t-test can test means between several groups.
  • An analysis of variance test can only test the difference of mean between two groups.
  • An analysis of variance test can test means between several groups.

5. Which of the following are analysis of variance (ANOVA) tests? Select all that apply.

  • Five-way ANOVA
  • One-way ANOVA
  • Half-way ANOVA
  • Two-way ANOVA

6. Fill in the blank: A post hoc test performs a pairwise comparison between all available groups while controlling for the _____.

  • confidence interval
  • variable selection
  • Tukey’s HSD
  • error rate

Test your knowledge: ANCOVA, MANOVA, and MANCOVA

7. Which statistical technique better isolates the relationship between a single categorical variable of interest and the Y variable?

  • Analysis of covariance (ANCOVA)
  • Multivariate analysis of variance (MANOVA)
  • One-way ANOVA
  • Multivariate analysis of covariance (MANCOVA)

8. Which of the following statements accurately describe ANCOVA and linear regression? Select all that apply.

  • ANCOVA includes covariates to gain a more clear understanding of the categorical variable.
  • ANCOVA allows for continuous and categorical independent variables
  • Linear regression focuses on a continuous Y variable
  • Linear regression helps predict the Y variable for unrecognized data.

Shuffle Q/A 1

9. What is the key difference between MANCOVA and MANOVA?

  • MANCOVA includes a null hypothesis.
  • MANCOVA controls for covariates.
  • MANOVA includes a categorical variable.
  • MANOVA has two or more continuous variables.

Weekly challenge 4

10. Fill in the blank: The _____ determines whether an observed categorical variable follows an expected distribution.

  • f-test
  • bias-variance test
  • chi-squared test for independence
  • chi-squared goodness of fit test

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