To create a deterministic model, we start with a probabilistic model that approximates the relationship we want to model.
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Q. 2The first-order linear model is sometimes called the simple linear regression model.
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Q. 3Statisticians have shown that sample y-intercept b0 and sample slope coefficient b1 are unbiased estimators of the population regression parameters 0 and 1, respectively.
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Q. 4The residuals are observations of the error variable . Consequently, the minimized sum of squared deviations is called the sum of squares for error, denoted SSE.
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Q. 5The residual ri is defined as the difference between the actual value yi and the estimated value y1.
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Q. 6The method of least squares requires that the sum of the squared deviations between actual y values in the scatter diagram and y values predicted by the regression line be minimized.
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Q. 7The vertical spread of the data points about the regression line is measured by the y-intercept.
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