Linear Regression Analysis

In this exercise, you will perform a simple linear regression analysis on the “Spiral of Silence” dataset.

Dataset

The dataset is already loaded for you in a variable called data. It contains survey data with the following relevant variables:

• Willingness_To_Speak_1_5: Willingness to speak out on a scale from 1 to 5 (dependent variable)
• Perceived_Majority_Support_pct: Perceived majority support as a percentage (independent variable)

Task

Create a linear regression model called simple_model that predicts Willingness_To_Speak_1_5 based on Perceived_Majority_Support_pct.

Requirements

Your code should:

• Use the pre-loaded data variable (do not load the data yourself)
• Create a linear model using the lm() function
• Store the result in a variable named simple_model

Solution

simple_model <- lm(Willingness_To_Speak_1_5 ~ Perceived_Majority_Support_pct, data)