Stats Unit 2 Review

Estimate the correlation coefficient for this scatterplot.

• A) r = 1.2

• B) r = 0.89

• C)r = 0

• D) r = -0.89

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot.

• A) r = -0.9

• B) r = 1

• C) r = 0.9

• D) r = -1

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

As the age of the car increases, its value decreases. Which scatterplot represents this relationship?

• A
• B
• C
• D

Tags

CCSS.8.EE.B.5

A linear model was constructed for a set of bivariate data using least squares regression techniques. Given the residual plot shown, what conclusion should be drawn?

• A linear model was not a good fit for the data.

• A linear model was a good fit for the data.

• The correlation between the original variables is close to 1.

• The data was drawn from a population that was not normally distributed.

• The study was poorly designed.

Suppose a straight line is fit to data having response variable y and explanatory variable x.  Predicting values of y for values of x outside the range of the observed data is called...

• extrapolation
• causation
• correlation
• interpolation

In a scatterplot  r² is called

• Coefficient of Determination
• Correlation Coefficient
• Regression Line
• Slope

Tags

CCSS.HSS.ID.C.8

Above is a scatter plot (with the least squares regression line) for calories and protein (in grams) in one cup of 11 varieties of dried beans. The computer output for this regression is below the plot. Which of the following best describes what the number S = 3.37648 represents?

• The slope of the regression line is 3.37648.

• The standard deviation of the explanatory variable, calories, is 3.37648.

• The standard deviation of the response variable, protein content, is 3.37648.

• The typical distance of the residuals is 3.37648.

Which is TRUE?
I.  Random scatter in the residuals indicates a linear model.
II.  If two variables are very strongly associated, then the correlation between them will be near 1 or -1.
III.  Changing the units of measurement for x or y changes the correlation coefficient.

• I only
• II only
• I and II only
• I, II and III

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

A researcher wishes to determine whether the rate of water flow (in liters per second) over an experimental soil bed can be used to predict the amount of soil washed away (in kilograms). 
In this study, the explanatory variable is...

• amount of eroded soil.
• rate of water flow.
• size of soil bed.
• depth of soil bed.

Tags

CCSS.HSF-LE.A.1B

A study is conducted to determine if one can predict the yield of a crop based on the amount of fertilizer applied to the soil. 
The response variable in this study is...

• yield of the crop.
• amount of fertilizer applied to the soil.
• the experimenter.
• the soil.

Tags

CCSS.HSF-LE.A.1B