Chapters 8 thru 10-1 - Chapter 8 Correlation/Linear...

Info iconThis preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Chapter 8 Correlation/Linear Regression Linear Relationships: If the explanatory and response variables show a straight- line pattern, then we say they follow a linear relationship. Curved relationships and clusters are other forms to watch for.
Background image of page 1

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

View Full DocumentRight Arrow Icon
2 Chapter 8 Correlation/Linear Regression Linear Relationships: If the explanatory and response variables show a straight- line pattern, then we say they follow a linear relationship. Curved relationships and clusters are other forms to watch for.
Background image of page 2
3 Chapter 8 Correlation/Linear Regression Direction: If the relationship has a clear direction, we speak of either positive association or negative association. Positive association: high values of the two variables tend to occur together Negative association: high values of one variable tend to occur with low values of the other variable.
Background image of page 3

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

View Full DocumentRight Arrow Icon
4 Chapter 8 Correlation/Linear Regression Correlation is a number that determines the strength of a linear relationship between two quantitative variables. Correlation is always between -1 and 1 inclusive The sign of a correlation coefficient determines positive/negative association between the variables
Background image of page 4
5 Chapter 8 Correlation/Linear Regression Strong correlation: If r is between 0.8 and 1 and -0.8 and -1 Moderate correlation: If r is between 0.5 and 0.8 and -0.8 and -0.5 Weak correlation: If r is between 0 and 0.5 and -0.5 and 0
Background image of page 5

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

View Full DocumentRight Arrow Icon
6 Chapter 8 Correlation/Linear Regression Correlation does not distinguish between X and Y Correlation is unitless Correlation measures the strength of linear relationship between two quantitative variables
Background image of page 6
7 Chapter 8 Correlation/Linear Regression
Background image of page 7

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

View Full DocumentRight Arrow Icon
8 Choose the best description of the scatter plot A. Moderate, negative, linear association B. Strong, curved, association C. Moderate, positive, linear association D. Strong, negative, non-linear association E. Weak, positive, linear association
Background image of page 8
9 Which of the following values is most likely to represent the correlation coefficient for the data shown in this scatterplot? A. r = -0.67 B. r = -0.10 C. r = 0.71 D. r = 0.96 E. r = 1.00
Background image of page 9

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

View Full DocumentRight Arrow Icon
10 Which of the following values is most likely to represent the correlation coefficient for the data shown in this scatterplot? A. r = -0.67 B. r = -0.10 C. r = 0.71 D. r = 0.96 E. r = 1.00
Background image of page 10
Which of the following values is most likely to represent the correlation coefficient for the data shown in this scatterplot? A. r = -0.67
Background image of page 11

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

View Full DocumentRight Arrow Icon
Image of page 12
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 03/27/2012 for the course STT 200 taught by Professor Dikong during the Spring '08 term at Michigan State University.

Page1 / 47

Chapters 8 thru 10-1 - Chapter 8 Correlation/Linear...

This preview shows document pages 1 - 12. Sign up to view the full document.

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