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The estimated slope coefficient for STR in model #2 is different from Model #1; 0.08742294 and -2.27981 respectively. This evidence is for model #2 since an increase in the ratio will increase the test score.
C) Show that it is possible to write the OLS estimate of the slope in a simple linear regression as: What additional assumptions are necessary for the OLS estimate of the slope to be unbiased? Explain why.
D) Is it possible to have two estimated models, both attempting to explain the same dependent variable, where one estimated model has a larger R2 and a larger standard error of the regression (that the other estimated model)? Using math and logic explain why this is or is not the
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