![]() ![]() The software calculates a value called the Regression coefficient, "R." The closer the absolute value of "R" is to 1, the better the fit of the trendline. There are two ways to evaluate if the y=mx+b that is derived from the line of best fit is close to representing the data. The trendline function is Google Sheets can give you the slope and y-intercept. This math model yields an equation for a straight line in the form of "y = mx + b." Most programs interpret the data to give you the value for the slope and intercept. The line of best fit provides a math model to make predictions about data points not on the graph and to evaluate the math model's precision. Below is a collection of data points and the line of best fit. There are a few ways to determine line that best represents a collections of data. Only by linearizing the data would you know that the function is either 1/x or 1/x 2. The inverse squared form has a curve that bends closer to the origin. Unfortunately, the inverse graphs look similar. You need to recognize the graph types by their appearance. In this physics course there are three types of graphs that our labs data will generate. To generate a math equation from a collection of data, we will use a process called " linearizing data." ![]() One of the ways cause and effect is better understood is by modeling the behavior with a math equation. It is meant as a prep for class.Ĭlick for the questions that go with this reading It is not everything there is to know about uniform circular motion. This text is meant to accompany class discussions. ![]()
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