Considered data from a clinical trial desned to evaluate the efficacy of a new drug to increase HDL cholesterol. This lesson introduces the concept and basic procedures of simple linear __regression__. The residuals show you **how** far away the actual data points are fom the predicted data points (using the **equation**).

## How to write a regression equation

The investators were at first disappointed to find very little difference in the mean HDL cholesterol levels of treated and untreated subjects. I’ve written a number of blog posts about *regression* analysis and I've collected them here to create a *regression* tutorial.

For example, you could use linear

regressionto understand whether exam performance can be predicted based on revision time (i.e., your dependent variable would be "exam performance", measured from 0-100 marks, and your independent variable would be "revision time", measured in hours).

### How to write a regression equation

#### How to write a regression equation

We are going to see if there is a correlation between the wehts that a competitive lifter can lift in the snatch event and what that same competitor can lift in the clean and jerk event. One hundred patients enrolled in the study and were randomized to receive either the new drug or a placebo.

R Square | Snificance F and P-Values | Coefficients | Residuals This example teaches you **how** to perform a **regression** analysis in Excel and **how** to interpret the Summary Output. The b question is: is there a relation between Quantity Sold (Output) and Price and Advertising (Input). FRANKENSTEIN TERM PAPER In other words: can we predict Quantity Sold if we know Price and Advertising? These are the explanatory variables (also ed independent variables).

How to write a regression equation:

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