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What to examine when assessing (univariate analysis) a Factor predictor variable?

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Final answer:

When assessing a factor predictor variable in univariate analysis, you need to examine independence, draw a scatter plot, use regression analysis, interpret the correlation coefficient, and determine linearity.

Step-by-step explanation:

In univariate analysis, when assessing a Factor predictor variable, there are several things to examine:

  1. Independence: You can use the test for independence to determine whether the factor predictor variable is independent or dependent on the other variables. This involves constructing a contingency table and testing the null and alternative hypotheses.
  2. Scatter plot: You can draw a scatter plot to visualize the relationship between the factor predictor variable and the outcome variable.
  3. Regression analysis: You can use regression analysis to find the line of best fit and the correlation coefficient.
  4. Interpretation of the correlation coefficient: The correlation coefficient indicates the strength and direction of the linear relationship between the factor predictor variable and the outcome variable. A significant correlation coefficient suggests a strong relationship.
  5. Linearity: You can determine if there is a linear relationship between the factor predictor variable and the outcome variable.
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