First verify the model requirements. Select all that apply. MA. The samples are independent. B. The sample size is less than 5% of the population size for each sample. O c. The sample size is more than 5% of the population size for each sample. O D. The data come from a population that is normally distributed. n,P1 (1-P1) 2 10 and ngp2 (1- P2) 2 10 OF. The samples are dependent. Identify the null and alternative hypotheses for this test. Let p, represent the population proportion of 1945 adults who were total abstainers and p, represent the population proportion of recent adults who were tot abstainers. Determine the null and alternative hypotheses. Ho:P1 VP2 H1: P VP2
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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