Question

in analyzing the results of a survey, brianna noticed that some respondents who stated that they had heart disease in their families also had a history of obesity and seldom exercised. brianna was able to draw comparisons between these variables by
multiple choice
regression analysis.
measures of association.
analysis of variance.
a one - way frequency distribution.
cross - tabulating.

Explanation:

Cross - tabulating (also known as contingency table analysis) is used to analyze the relationship between two or more categorical variables. In this case, the variables are "having heart disease in the family", "history of obesity", and "exercise frequency" (seldom exercised). It helps in comparing and understanding the associations between these variables.
Regression analysis is mainly for predicting a continuous variable based on one or more independent variables. Analysis of variance (ANOVA) is used to compare means of different groups. Measures of association (like correlation for continuous variables) are more about quantifying the relationship strength in a different context than cross - tabulating categorical variable relationships. A one - way frequency distribution just shows the distribution of a single variable.

Answer:

cross - tabulating