Ans: an algorithm to find a precise line of fit for a set of data
3). Regression equation
Ans: Y'= a +bX is the formula for best fiting straight line to charecterize the linear
relationship between X and Y.
4). Intercept concept
Ans:
5). Slope
Ans: The steepness of a line on a graph
6). Residulas
Ans: The differences between Y and Y'
7). Least squares
Ans: Standard regression procedures
8). Standard error of estimate
Ans: (SE estimate) is an index that indictaes how wrong, on average, a predicted value
of Y is expected to be.
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