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INTRODUCTORY STATISTICS CH 4 NOTES

by: Marissa Nichol

38

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INTRODUCTORY STATISTICS CH 4 NOTES MATH 10041-007

Marketplace > Kent State University > Math > MATH 10041-007 > INTRODUCTORY STATISTICS CH 4 NOTES
Marissa Nichol
KSU
INTRODUCTORY STATISTICS
Xianglan Bai

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These notes have information from the book, notes in class, and definitions from the homework.
COURSE
INTRODUCTORY STATISTICS
PROF.
Xianglan Bai
TYPE
Class Notes
PAGES
2
WORDS
KARMA
25 ?

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This 2 page Class Notes was uploaded by Marissa Nichol on Thursday October 1, 2015. The Class Notes belongs to MATH 10041-007 at Kent State University taught by Xianglan Bai in Summer 2015. Since its upload, it has received 38 views. For similar materials see INTRODUCTORY STATISTICS in Math at Kent State University.

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Date Created: 10/01/15
INTRODUCTORY STATISTICS CH 4 41 a dot for each variable represents the value of each observation used for all numerical variables always observe the trend strength and shape 0 Trend the center value Positive associations increasing trends negative associations decreasing trends 0 Strength similar to the spread a big amount of scatter on graph big spread high strength 0 Shape shape of the graph ex bellshaped most simple shape linear decreaseincrease at same rate 42 the measurement of strength of linear association between2 variables ex relationship between height and weight best to nd using technology arge amount of scatter small association between variables inear data of 2 qualititative variables 43 toolway of predicting observed values not determined yet useful way to summarize linear relationship anayze relationships just like a sample distribution does ine that is closest to most of the points on a graph easiest to use calculator to determine determines quotrate of changequot of the mean of y Straight lines contain ymxb Statisticians write it as yabx b y intercept so quotaquot quotmquot in ymxb but b in yabx intercept x variable y variable 44 Avoiding pitfalls before interpreting linear model examine your graph Only use regression model for linear associations Know relationships between variables in case change occurs if you know the change in value of one variable you can determine the rest of the variables Check scatterplot before regression analysis for outliers bc it is a line of means and mean is effected greatly by outliers observations such as outliers that has an effect on the conclusion each point plotted is a summary ofa group making predictions beyond range of data seen based on regression line DON T DO THIS B r SySX correlation coef cient squared called rsquared

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