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8 Cards in this Set
- Front
- Back
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Regression Line
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A regression line is a line drawn through the points on a scatterplot to summarise the relationship between the variables being studied. When it slopes down (from top left to bottom right), this indicates a negative or inverse relationship between the variables; when it slopes up (from bottom right to top left), a positive or direct relationship is indicated.The regression line often represents the regression equation on a scatterplot.
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Slope b/y Intercept
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In the equation of a straight line (when the equation is written as "y = mx + b"), the slope is the number "m" that is multiplied on the x, and "b" is the y-intercept, where the line crosses the y-axis.
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Least Square Regression Line
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Error is defined as observed value - predicted value and we are seeking aline that minimizes the sum of these distances. Specifically, the least squares regression line of y on x is the line that makes the sum of thesquares of the vertical distances of the data points from the line as small as possible.
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Residual
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the difference between an observed value of the regression line =y-y*
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Residual plot
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Standard Deviation of Residual
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A statistical term used to describe the standard deviation of points formed around a linear function, and is an estimate of the accuracy of the dependent variable being measured.
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Coefficient of Determination
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In statistics, the coefficient of determination, denoted R2 or r2 and pronounced R squared, is a number that indicates how well data fit a statistical model – sometimes simply a line or curve.
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Influential Observation
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In statistics, influential observation is an observation for a statistical calculation whose deletion from the dataset would noticeably change the result of the calculation.
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