A data analyst is building a linear regression model to predict house prices based on square footage. The analyst has two models: Model A uses only square footage, and Model B uses square footage and the number of bedrooms. Model B has a higher R-squared value. What does this indicate?

Model B explains more of the variance in house prices than Model A

Model B is more parsimonious than Model A

Model B has a lower standard error than Model A

Model B is always better than Model A

CompTIAData+

Domain 3Objective 2

Select Statistical Methods DA0-001 Practice Questions (Page 3)

Part of the Data analysis domain, which accounts for 24% of the DA0-001 exam. CompTIA does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–14 in this domain), expect 3–5 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)

22questions here

5free pages

6concepts

24%of the exam

Questions 11–15

11expert · hard
A data analyst is building a linear regression model to predict house prices based on square footage. The analyst has two models: Model A uses only square footage, and Model B uses square footage and the number of bedrooms. Model B has a higher R-squared value. What does this indicate?
Select an answer first
12foundation · easy
A data analyst wants to show the distribution of customer ages in a dataset. Which type of chart is most appropriate for this purpose?
Select an answer first
13foundation · easy
A data analyst wants to determine if a new marketing campaign significantly increased the average purchase amount compared to the previous campaign. Which statistical method should the analyst use?
Select an answer first
14foundation · easy
A data analyst wants to compare the sales figures of four different product categories for a single year. Which chart type is most appropriate for this comparison?
Select an answer first
15foundation · easy
A data analyst is summarizing a dataset of customer ages: 22, 25, 25, 30, 35, 42. Which measure of central tendency is most appropriate to report as the 'typical' age when the dataset contains an extreme outlier?
Select an answer first

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Select Statistical Methods DA0-001 Practice Questions (Page 3)

Questions 11–15

A data analyst is building a linear regression model to predict house prices based on square footage. The analyst has two models: Model A uses only square footage, and Model B uses square footage and the number of bedrooms. Model B has a higher R-squared value. What does this indicate?

A data analyst wants to show the distribution of customer ages in a dataset. Which type of chart is most appropriate for this purpose?

A data analyst wants to determine if a new marketing campaign significantly increased the average purchase amount compared to the previous campaign. Which statistical method should the analyst use?

A data analyst wants to compare the sales figures of four different product categories for a single year. Which chart type is most appropriate for this comparison?

A data analyst is summarizing a dataset of customer ages: 22, 25, 25, 30, 35, 42. Which measure of central tendency is most appropriate to report as the 'typical' age when the dataset contains an extreme outlier?

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