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Multiple Linear Regression

Multiple Linear Regression. (MLR). Testing the additional contribution made by adding an independent variable. Predicting SALARY using RANK. Predicting SALARY using RANK. SST = SSY = variation in SALARY. Predicting SALARY using RANK. SST = SSY = variation in SALARY.

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358 views • 27 slides

Multiple Linear Regression

Multiple Linear Regression. (MLR). Testing the additional contribution made by adding an independent variable. Predicting SALARY using YRSRANK. Predicting SALARY using YRSRANK. SST = SSY = variation in SALARY. Predicting SALARY using YRSRANK. SST = SSY = variation in SALARY.

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383 views • 27 slides

More Simple Linear Regression

More Simple Linear Regression. Variation. Remember to calculate the standard deviation of a variable we take each value and subtract off the mean and then square the result. (We also the divided by something, but that is not important in this discussion.)

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210 views • 12 slides

DRQ #12 solution

1 . Let If n = 40, the degrees of freedom associated with this regression model is ___ ___36______. If SSE = 180 and if n = 40, then what is the unbiased estimate of the error variance? SSE/ df = 180/36 =5 What is the standard error of the regression? Sqrt (5) =2.4

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95 views • 1 slides

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Multiple Linear Regression

Multiple Linear Regression

More Simple Linear Regression

DRQ #12 solution