Unit C review- Correlation and Regression

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.B.6

CCSS.HSS.ID.C.8

What is the correlation?

• Negative correlation
• No correlation
• Positive correlation
• Cannot be determined

Tags

CCSS.HSF-LE.A.1B

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random with no pattern
• A few clumps

How do you calculate a residual?

• Observed - Predicted
• Predicted - Observed

After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?

• A
• B
• C

Tags

CCSS.HSS.ID.B.6

Predicting the temperature for a heating time of 70 minutes is an example of what?

• Interpreting a Residual Plot
• Outlier Rule
• SOCS
• Extrapolation

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.C.7

Some data were collected on the weight of a male white laboratory rat for the first 25 weeks after its birth. The linear regression equation is:  Weight = 100 + 40(Time).
Which is the best description of the slope for this regression equation in context of the problem?

• The slope is 40 which respresents the average starting weight of the rats.
• The slope is 40 which represents a gain of 40 grams per week.
• The slope is 40 and represents that is takes 40 weeks to gain 1 gram.
• The slope is 100 which represents a gain of 100 grams per week.

Tags

CCSS.HSF.LE.B.5

The standard error (standard deviation) of the residuals tells us _________

• our average error in predicting y
• our average error in the correlation
• our unique predictive power
• whether we look good in the morning

What type of correlation describes the following sentence:
The "temperature outside" and the "number of hot chocolate sold" at a football game.

• postive
• negative 
• no correlation

What is the slope of the LSRL from this printout?

• 0.74
• -0.47
• 1.098
• 23.59