IMPORTANT! There was a question missing from the original -- please make these corrections:Question #2change c) to d)Add #2c) "An outlier is a point that doesn't 'fit' with the rest of the data. While you shouldn't normally 'mess' with your data, sometimes you might want to remove outliers (with explanation) in order to see the results (especially for a small sample size, like this one, where an outliner may have a significant effect). Remove the outlier in this set of data, and analyze the data again (repeat part a). Do you notice a change in the correlation between the variables?"

For each of the following sets of data, do the following: 0 determine the independent (x) and dependent (y) variables 0 assume a causal ('cause-and-effect') relationship 0 W, create a scatter plot with a 'line of best t' 0 W, perform regression analysis in order to find: 0 the linear model (equation) 0 the coefcient of determination fvariance (R2) 0 the correlation coefficient (r) 0 use the linear model (equation) you find to answer the question (for that set of data) 0 distuss how 'good' the models (linear equation, 'line of best t') t the data, using appropriate math language and tools. At the end, compile and organize all of your work into a SINGLE document (like you did with Assignment U3A4) and submit to the dropbox (on UBAB: Unit 3 Summative Assessment page). * you may use any of the technology options suggested in U3A2: Regression Analysis and Correlation Coefficient just ensure that I know which one(s) you are using for this test! 1. Universities rate high schools by comparing a student's lst year university average with the student's average in their top 6 Grade 12 courses. Here is some recent data: \"Iii-\"Ball. EEEEUEEE minim a) Analyze the data (as above). b) Predict the University Average of a student who had a 60 for their High School Average. 2. Mr. Elliott wants to investigate if student performance on the MDM4U final exam is related to time spent studying for the exam. He gathered the following sample data: min-3mm \"mammal a) Analyze the data (as above). b) Predict the exam mark of a student who studied for 30 hours. c) Is this model a fair way to predict success in MDM4U exam? Use mathematical reasoning, not your personal feelings

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