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using the table below a linear regression was performed that found the regression parameters b 2 4 and a 5 5 x y 1 8 2 10

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Using the table below, a linear regression was performed that found the regression parameters, b = 2.4, and a = 5.5. x y 1 8 2 10 3 13 4 15 It was also determined that the Pearson correlation coefficient is approximately 0.996546. Calculate the standard error of the estimate, and the proportion of the variance not accounted for by the linear model. (a) The Standard Error of the estimate is 0.22, and the proportion of the error not accounted for by the linear model is 0.203454 (b) The Standard Error of the estimate is 0.308, and the proportion of the error not accounted for by the linear model is 0.203454 (c) The Standard Error of the estimate is 0.22, and the proportion of the error not accounted for by the linear model is 0.01 (d) The Standard Error of the estimate is 0.308, and the proportion of the error not accounted for by the linear model is 0.01

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Answer to a math question Using the table below, a linear regression was performed that found the regression parameters, b = 2.4, and a = 5.5. x y 1 8 2 10 3 13 4 15 It was also determined that the Pearson correlation coefficient is approximately 0.996546. Calculate the standard error of the estimate, and the proportion of the variance not accounted for by the linear model. (a) The Standard Error of the estimate is 0.22, and the proportion of the error not accounted for by the linear model is 0.203454 (b) The Standard Error of the estimate is 0.308, and the proportion of the error not accounted for by the linear model is 0.203454 (c) The Standard Error of the estimate is 0.22, and the proportion of the error not accounted for by the linear model is 0.01 (d) The Standard Error of the estimate is 0.308, and the proportion of the error not accounted for by the linear model is 0.01

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Option c

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