101 Lecture Notes - Simple Linear Regression, Linear Regression, Squared Deviations From The Mean

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A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called: The method of least squares dictates that we choose a regression line where the sum of the square of deviations of the points from the line is: A relationship where the flow of the data points is best represented by a curve is called: All data points falling along a straight line is called: The value we would predict for the dependent variable when the independent variables are all equal to zero is called: The slope of the regression line of y on x is also called the: In simple linear regression, the numbers of unknown constants are: In simple regression equation, the numbers of variables involved are: If the value of any regression coefficient is zero, then two variables are:

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