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Slope of a straight line = (y1-y2)/(x1-x2)
The method used to calculated the best straight line through a set of data is called linear regression. It is also called the least squares method. I've included two links. I know the wikipedia link is a bit complicated. The slope and intercept are calculated based on "minimum least squares." If I draw a line through the set if points, for every x value in the data set I will have a y value and a predicted y value (y-hat) based on the straight line. The error (E) is this case is the predicted y minus the actual y. Linear regression finds the slope and intercept of the equation that minimizes the sum of the square of the errors. Mathematically this is stated as: Min z = sum (yi - y-hat)^2 To hand calculate a linear regression line wold take some time. The second link that I've included shows how to calculated this using excel.
In mathematical notation, a straight line with a line above it typically represents a specific type of mean or average, such as the arithmetic mean. In statistics, it can also denote a line segment or a bar over a variable to indicate its mean value. In some contexts, it may represent a repeating decimal. The exact meaning can vary based on the specific area of study or usage.
Yes. If it is not straight, then it is not a line.
it just a straight line