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11. Write a program to create an any application of Linear Regression in multivariate context for predictive purpose. || R

 # Create a custom dataset 

data <- data.frame( 

Age = c(25, 30, 35, 40, 45, 50, 55, 60, 65, 70), 

Income = c(35000, 40000, 45000, 50000, 55000, 60000, 

65000, 70000, 75000, 80000), 

Education = c(12, 14, 16, 16, 18, 20, 20, 22, 24, 24) 

# Display the dataset 

print(data) 

# Create a linear regression model 

lm_model <- lm(Income ~ Age + Education, data = data) 

# Summary of the linear regression model 

summary(lm_model) 


new_data <- data.frame(Age = 35, Education = 16) 

predicted_income <- predict(lm_model, newdata = 

new_data) 

 

# Display the prediction 

cat("Predicted Income:", predicted_income, "\n") 

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