AP Stats Chapter 3 Vocabulary

Reorder the following in ascending order of correlation coefficient values.

• Negative Strong

• Positive

  Weak

• Negative Moderate

• No Association

• Positive Perfect

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Match the following:

• a

• Y-Intercept

• s

• Standard Deviation of Residuals

• b

• Coefficient of Determination

• r²

• Correlation Coefficient

• r

• Slope

Tags

CCSS.HSS.ID.B.6B

Match the following:

• Y-Intercept

• The proportion of variation in the response variable that is explained by the

  explanatory variable in the model.

• Correlation Coefficient

• The value of the dependent variable when x equals zero.

• Coefficient of Determination

• Change in the dependent variable divided by the change in the independent variable.

• Standard Deviation of Residuals

• Gives the direction and

  quantifies the strength of the linear association

  between two quantitative variables.

• Slope

• Calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.

Tags

CCSS.8.SP.A.3

As observational study can show ​ (a)   . When one variable has an association with another.

An experiment can show ​ (b)   . When one variable created a reaction by another.

• correlation
• causation
• extrapolation
• cessation
• remediation

Tags

CCSS.HSS.ID.C.9

On a residual plot, the following are shown:

(choose all correct answers)

• y-ŷ

• residual

• error

• observed data points

Tags

CCSS.HSS.ID.B.6B

Match the following

• High-Leverage Point

• _____ in regression has a

  substantially larger or smaller x-value than the

  other observations have.

• Influential Point

• Predicting a response value

  using a value for the explanatory variable that is

  beyond the interval of x-values used to determine

  the regression line

• Scatterplot

• Shows two numeric values for each observation, one corresponding to the value on the x-axis and one corresponding to the value on the y-axis.

• Extrapolation

• _____ in regression is any point that, if removed, changes the relationship substantially.

• LSRL

• Model that minimizes

  the sum of the squares of the residuals and

  contains the point (x̄, ȳ)

Tags

CCSS.HSS.ID.B.6B

What is the type of association?

• Negative 
• no association
• positive 

Tags

CCSS.HSS.ID.B.5

What does r stand for?

• correlation coefficient
• coefficient of determination
• slope of the line of best fit (LOBF) for a sample
• slope of the line of best fit (LOBF) for a population

Tags

CCSS.HSS.ID.C.8

What does r² stand for?

• correlation coefficient
• coefficient of determination
• slope of the line of best fit (LOBF) for a sample
• slope of the line of best fit (LOBF) for a population

Tags

CCSS.HSS.ID.C.9

When r^2 is closer to 1, the relationshp between two varables is

• Stronger

• Weaker

Tags

CCSS.HSS.ID.B.6B