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<p>You've already learned the basics about linear modeling and statistical inference. It is now time to combine them. This course will help you understand how different samples can produce different linear models. This course is designed to help you understand the basic population model. The course will teach you how to estimate intervals and calculate the significance of the effect of the estimated linear model. Comparisons will be made between the prediction intervals of the response variable as well as the estimates for the average response. For cleaning up models, you can use ggplot2, dplyr and the broom packages. These three tools are vital in data science.</p>

Jo Hardin

Learn Inference for Linear Regression in R  by DataCamp and upskill your career by acquiring skills like Data Modeling,Linear Regression,Statistical Analysis etc with Careervira.

Inference for Linear Regression in R

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