Question

use RStudio to answer the following questions. Round all values to 2 decimal places and pay attention to APA rules about when to report leading zeros. Describe your variables and your data. Which of these is your grouping variable and which is your outcome variable? The table(] and/or describe() functions may help you determine this. How many people do you have at each level of your grouping variable? What is the shape of your potential effect?

Answer 1

When analyzing data in RStudio, you need to determine the grouping variable and the outcome variable. The shape of the potential effect indicates whether there is a relationship between the variables.

Step-by-step explanation:

When analyzing the data in RStudio, you need to determine the grouping variable, which is the variable that you want to organize or group your data by. The outcome variable, on the other hand, is the variable that you want to measure or analyze.

To determine the grouping variable and the outcome variable, you can use the table() and/or describe() functions to examine the frequency and summary statistics of your variables.

The shape of your potential effect refers to the relationship between the grouping variable and the outcome variable. If there is a clear pattern or trend in the data, then the shape of the effect is likely to be linear, indicating a linear relationship between the variables.

However, if there is no clear pattern or the data points are scattered, then the shape of the effect may be non-linear or there may not be a relationship between the variables.