STA302H1
UTSGMethods of Data Analysis I
Introduction to data analysis with a focus on regression. Initial Examination of data. Correlation. Simple and multiple regression models using least squares. Inference for regression parameters, confidence and prediction intervals. Diagnostics and remedial measures. Interactions and dummy variables. Variable selection. Least squares estimation and inference for non-linear regression.
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Reviews (1)
I did expect that DFBETA would be tested, but I did not expect that there is no hat matrices or outliers. I hope to see an overall grade curve as well. This exam is just so terrible. From what I heard, last year the midterm was hard while the final was easy. But this year literally every single thing in STA302 is VERY hard. I had high expectations and goal in this exam before going in it, but since the exam was THAT difficult, my goal would be shattered into a million pieces.