The authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data are summarized in the accompanying table. Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05. Character Type Sex Positive Negative Neutral Male 256 107 132 Female 51 85 13 Calculate the test statistic. (Round your answer to two decimal places.) What is the Pvalue for the test? (Use technology to calculate the Prvalue. Round your answer to three decimal places.) P-value = What can you conclude? O Reject Hg. There is convincing evidence to conclude that the proportions falling into the character type categories are not all the same for the two gender groups. O Reject Hg- There is convincing evidence to conclude that there is an association between sex and character type for movie characters who smoke. O Fail to reject Hg. There is not enough evidence to conclude that there is an association between sex and character type for movie characters who smoke. O Fail to reject Hg. There is not enough evidence to conclude that the proportions falling into the character type categories are not all the same for the two gender groups.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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