Descriptive Statistics for all the Above Variables - Statistics Assessment Answer

Statistics Assessment Task

Problems 1.

For all models in this problem set, report the constants, coefficients, standard errors, and pvalues, the N and the R2 values in one table in your writeup. Label them, Model 1, Model 2, etc, as per the example table provided below. When you are finished, you should have 5 models in you table. Use the format of Table 1 as a guide for creating this table in your word document. In the left hand column, your variable names should be included. Name the variables appropriately so a reader would know what it is, but DO NOT USE THE R CODE NAMES. In the columns to the right of the variable names, insert the different models you will make for this problem set. Each cell should contain the values of the coefficients and their standard errors (in parentheses) that are included in that model. Since the first model is bivariate, the only cells that will have numbers will be the primary independent variable (the coefficient with SE’s in parentheses underneath), the constant (the coefficient with SE’s in parentheses underneath), and the N and R2 . Fill the subsequent columns as the problem set instructs.

2. Load the data; it should show you two dataframes. Use c for now. View the data frame and the variables. Make sure you know what each variable is and what it is measuring.

3. Report the descriptive statistics for all the above variables. This includes the type and level of measurement; for categorical variables, provide a properly labeled frequency graph using the freq() command, and include the frequency, and percentage of each category in your write-up; for continuous, provide a histogram using hist() command and report the n, median, mean and standard deviation in your write-up. For the set of categorical variables that indicate regional differences, you will not need to make a graph, but you should consider them here as one category and report their number and frequency.

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