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The random error in a regression equation?
includes both positive and negative terms.
The regression equation is determined by minimizing?
The total squared error between the predicted y values and the actual y values
Do you need more than 10 observations in linear regression?
This is a difficult question to answer. The pure answer is no. In reality, it depends on the level of randomness in the data. If you plot the data, it will give you an idea of the randomness. Even with 10 data points, 1 or 2 outliers can significantly change the regression equation. I am not aware of a rule of thumb on the minimum number of data points. Obviously, the more the better. Also, calculate the correlation coefficient. Be sure to follow the rules of regression. See the following website: http:/www.duke.edu/~rnau/testing.htm
Regression analysis is a statistical procedure for developing a mathematical equation that describes how?
one dependent and one or more independent variables are related.
What should you use to find the equation for a line of fit for a scatter plot?
Least squares regression is one of several statistical techniques that could be applied.
