Now we will begin diving into regression analysis and this is the first simple linear regression project which identifies standards model assumption will be met to fit a model. Throughout the ...

Let's say you have a confidence interval for the slope of a line in a simple linear regression model [1.5, 2.5]. This implies that with 95% confidence, the true slope of the line is between 1.5 ...

Simple regression is a model that uses one predictor variable to explain the variation in a response variable. For example, you might use simple regression to study how the height of a plant ...

9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression residuals usually are correlated over time. It is not desirable to use ...