204 Exm2 Review - 2040 Exam Two Topics Chp. 4 Regression...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
2040 Exam Two Topics Chp. 4 Regression Be able to: Calculate r (TI or Excel) Calculate r 2 using SST = SSR + SSE Estimate r (w/in 0.2) from a scatter plot State what r and r 2 measure Find the least square regression line y = b 1 x + b 0 using: 1) TI or Excel 2) the equations b 1 = r s y /s x b 0 = y - b 1 x Use the regression line to find a predicted value of y and a residual for that y value. State the criteria for determining the values of b 0 and b 1 Identify x values outside the scope of the model Use residual analysis to determine when a linear model is appropriate Identify outliers and influential points in the context of regression Chp. 5 Probability Three Definitions of Probability - Classical, Empirical, and Subjective Law of Large Numbers Calculate conditional probabilities, and the probability of the compliment of an event. P(A|B) = P(AB)/P(B) P(A) + P(A c ) = 1 Use the addition and multiplication rules. P(A U B) = P(A) + P(B) – P(AB)
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 12/05/2011 for the course MATH 2040 taught by Professor Raysievers during the Fall '10 term at Utah Valley University.

Page1 / 2

204 Exm2 Review - 2040 Exam Two Topics Chp. 4 Regression...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online