From the course: Regression Analysis Fundamentals
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Run a linear model in R using code
From the course: Regression Analysis Fundamentals
Run a linear model in R using code
Picture this. You're in a marketing meeting, and everyone's debating whether the higher ad spend actually boosts sales, or if it's just luck. You open R, run a quick analysis, and the answer appears. No guessing or gut feelings. Just clear, data-driven evidence. If Excel helps you to explore relationships and SPSS helps you verify them, R gives you the power to automate and scale your analysis. With just a few lines of code, you can calculate how each dollar of ad spend affects sales, visualize the trend, and even forecast future performance. In this lesson, you'll use R's LM function to run a linear regression and translate your findings into insights that drive business decisions. Before getting started, make sure that you have both R and RStudio installed and download the exercise file to a convenient location. No coding experience is required. Just follow along and run a few simple commands. Start by opening up RStudio. Now the statistics package should be installed by default…
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