I have a continuous dependent variable and one categorical independent variable (with three levels). For the three levels, I have 42, 33, and 45 observations respectively. So, in short, I have unequal sample sizes.
I want to run a linear model. But I am unsure how to account for the three levels' different sample sizes.
Is using weights in a linear model the right approach? If so, how to use assign them properly?