AP Stats Chapter 3 Vocabulary

Reorder the following in ascending order of correlation coefficient values.

• Positive

  Weak

• Negative Strong

• Negative Moderate

• No Association

• Positive Perfect

Tags

CCSS.HSS.ID.C.8

CCSS.HSS.ID.B.6

Match the following:

• r²

• Coefficient of Determination

• r

• Correlation Coefficient

• b

• Standard Deviation of Residuals

• s

• Y-Intercept

• a

• Slope

Tags

CCSS.HSS.ID.B.6B

Match the following:

• Y-Intercept

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

• Coefficient of Determination

• 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.

• Standard Deviation of Residuals

• Gives the direction and

  quantifies the strength of the linear association

  between two quantitative variables.

• Slope

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

• Correlation Coefficient

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

  explanatory variable in the model.

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

• LSRL

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

• 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

• 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

• Influential Point

• Model that minimizes

  the sum of the squares of the residuals and

  contains the point (x̄, ȳ)

• High-Leverage Point

• _____ in regression has a

  substantially larger or smaller x-value than the

  other observations have.

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