Chapter 3 Linear relationships

Now you've done it all! Can you

identify bivariate data?

graph response and explanatory variables?

differentiate in a scatterplot for a categorical variable?

describe data represented in a scatterplot?

find the least-squares regression line?

compare and contrast the concepts of regression, correlation, association?

explain what the correlation coefficient tells us?

explain what the coefficient of determination tells us?

use a predictor line (LSRL) to predict the value of y for a given x?

use a predictor line to calculate and interpret residuals?

calculate EVERYTHING using the formulas in the text?

explain the vocabulary?

identify the key topics from this chapter?

write good questions for a test?

teach someone else how to work these problems?

squeeze the maximum information from real data using linear methods appropriately?

prove (in writing) that you understand and can apply the concepts of this chapter?



What have I left out?

CU @ CiCi's.

Chapter 2 thoughts

Essential question: Why is the Normal distribution so special?


Here's a teaser for you--if you know that 20% of the data in a normally-distributed population fall below the x-value 306 and 80% fall below the value 772, can you find the mean and standard deviation of the population???

I will be in the classroom as early as possible on Thursday, but I have a parent meeting at 7:45. Please use your other resources well. Don't forget the book! The chapter summaries are great tools. Do the practice quiz online. Dream up questions that I might ask.

Have a slice of pizza for me.

Pre-test discussion

Ask and answer the most pressing questions here. You WILL nned to establish an identity to post. Please DO NOT use your first and last names.

Have you taken the practice quiz yet? The link is on the right edge of the main screen. Spread the word to your friends and neighbors.

Good luck.