Descriptive Statistics

Least Squares Regression

Analyzing Departures from Linearity

Residuals :

**Residual=y-y hat

2019-10-14 (2)

Vocabulary

Vocabulary

Residuals:The left-over vertical variation in the response variable (y) from the LSRL**

Residual Plot:A scatter plot of the residuals plotted against the explanatory variable and is used to determine if a linear model is appropriate for this data**

y=actual value

y hat=predicted value

2019-10-14 (3)

Vocabulary

....% of the variation in the response(y) that is explained by the explanatory variable(x)

r^2(coefficient of determination): the proportion of variation in the values of y that can be explained by the values of x**

standard deviation of the residuals: "typical" or "average prediction error**

the typical prediction error is .... units

influential observation:a point that when removed, changes the relationship between two quantitative variables dramatically**

high-leverage point: is a point that has a substantially larger or smaller x-value compared to the other observations**

Statics for Two Categorical Variables

Representing the Relationship Between Two Quantitative Variables

Representing Two Categorical Variables

Frequency Table:a table that show frequency counts for a categorical variable**

Contingency Table/Two-Way Table: a table that is useful for examining a relationship between categorical variable**

Independence

Association

Joint Relative Frequency

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bar graph

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pie graph

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mosaic plots

Marginal Relative Frequency: give the percent/proportion of individuals that have a specific value for one of the categorical variables**

Conditional Relative Frequency: give the percent/proportion of individuals that have a specific value of one categorical variable among individuals who share the same value of another categorical variable**

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Bivariate Data: the data collected on two variables where each value of one variable is paired with a value of the other variable.**

Scatterplot: a graphical display of bivariate quantitative data**

Explanatory Variable: the variable that explain/predict the value of the other variable **

Response Variable: the variable measured in study/focus of the study**