Unit 3 Two-Variable Statistics Test Review

Front

What does an r-value of 0.17454 indicate about the correlation between two variables?

Back

It suggests a weak positive correlation.

Tags

CCSS.HSS.ID.B.5

Front

How can you determine the best fit model for a set of data based on residuals?

Back

The best fit model is the one with the smallest residuals, indicating that the model predictions are closest to the actual data.

Front

Rank the following correlation coefficients from strongest to weakest: -0.87, 0.79, 0.50, -0.25.

Back

-0.87 (strong negative), 0.79 (strong positive), 0.50 (moderate positive), -0.25 (weak negative).

Tags

CCSS.HSS.ID.B.5

Front

What is a relative frequency table and how is it used in statistics?

Back

A relative frequency table shows the proportion of observations within each category relative to the total number of observations.

Tags

CCSS.8.SP.A.4

Front

What is the probability that a student likes baseball given that they are between 11 to 13 years of age if the probability is 0.34?

Back

The probability is 34%.

Tags

CCSS.HSS.CP.B.6

Front

What does a two-way frequency table represent in statistics?

Back

A two-way frequency table displays the frequency counts of two categorical variables, allowing for the analysis of the relationship between them.

Tags

CCSS.8.SP.A.4

Front

How do you calculate the probability of an event based on a two-way frequency table?

Back

Divide the frequency of the event of interest by the total frequency of the relevant category.

Tags

CCSS.8.SP.A.4

Front

What is the significance of a negative correlation coefficient?

Back

A negative correlation coefficient indicates that as one variable increases, the other variable tends to decrease.

Tags

CCSS.HSS.ID.B.5

Front

What is the range of possible values for a correlation coefficient (r)?

Back

The range is from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.

Tags

CCSS.HSS.ID.B.5

Front

What does it mean if the residuals of a model are randomly scattered?

Back

It suggests that the model is a good fit for the data, as there are no patterns in the residuals.