I’m working on my latest homework and I’m stuck trying to implement linear regression in R. The assignment asks me to analyze a dataset, build a regression model, interpret the output (like coefficients, residuals, R-squared), and make predictions. I understand the basic theory behind linear regression, but I’m struggling to write the right R code and understand the results.



I tried using lm() in R and got this output:



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model <- lm(y ~ x, data = mydata)

summary(model)

But now I&rsquo;m confused about what the coefficients actually mean and how to explain things like p-values and R-squared in a simple, academic-friendly way.