Regression Analysis is finding independent variables that can be used to predict

Question

Regression Analysis is finding independent variables that can be used to predict the dependent variable. Before running a regression, what statistic should you look at, and what does “R-Bar Squared” tell you? As you add more and more independent variables to your regression analysis, what does ANOVA output (analysis of variance) from the statistical software tell you?

What is the purpose of Analysis of Variance? State the null and alternative hypotheses.

What are the two basic types of variables in statistics, and what are their frequency distributions called?

What statistics do you need in order to construct a boxplot?

What is a density curve, and why is the area underneath it exactly equal to 1?

Explanation / Answer

Dear student, I am only answering the first question as per Chegg Guidelines.

R squared tells the percentage of variance of the dependent variable that is defined by the independent variables.

ANOVA output tells us whether or not the means of different treatements applied is same.

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