Ch 8 Vocab Quiz Tomorrow!

Tonight, study! Tomorrow we have our chapter 8 vocab quiz! Then, on Thursday, we have our "quest" on chapters 7 and 8! Study now!

Here's a list of the words for tomorrow's vocab quiz:

• Residual (know what it is when looking at a scatterplot with a line of best fit, and know how it's calculated)
• Slope
• Y Intercept
• R^2 (Coefficient of Determination)
• Actual/Observed Value
• Predicted/Estimated Value
• Underestimate
• Overestimate
• Linear Model/Line of Best Fit (an equation used to make predictions for y values, based on x values)
• Least Squares Regression Line (the line that minimizes the sum of the squared residuals)

Words from Chapter 7 vocab quiz that may repeat:

• Correlation (r)
• Explanatory Variable
• Response Variable
• Describe an Association
• Outlier

And here's the answer key to last night's homework so you can get a head start studying for Thursday!

If you'd like to get a head start, here's what's on Thursday's test? quiz? quest?:

• 10 multiple choice questions
• 6 open ended (writing) questions (provided in bold)
• 3 short answer questions (identifying different points in a scatterplot)

Topics on the Quest:

• Know how correlation is affected by converting data to z scores (standardizing)
• Know how to find the correlation (r) from R^2: remember to check the slope to see if it's + or -
• Use a linear model to make predictions
• Calculate residuals: use a linear model to make a prediction, then find actual - predicted
• Interpret slope!
• Interpret y intercept!
• Interpret R^2!
• Know about correlation: you'll have to choose which (of 5) statement does not have an error (remember that "blunder" question?)
• Estimate correlation looking at a scatterplot (consider direction, then strength, to choose which correlation best matches the scatterplot given)
• Write the equation of the LSRL given a data set (Stat, Calc, LinReg)
• Write the equation of the LSRL given a computer output
• Is a linear model appropriate? Check a scatterplot to see if it's roughly linear and has no outliers, check that a residual plot has no pattern, and that the variables are quantitative
• Describe an association (shape, direction, strength, generally...)
• Interpret residuals