Algebra IInterpreting Categorical and Quantitative Data70 target questions
Represent data on two quantitative variables on a scatter plot and describe how the variables are related. Fit a function to the data; use functions fitted to data to solve problems in the context of the data.
Sample Practice Questions (3)
1
The scatter plot below shows the relationship between the number of hours spent studying, x, and the score on a final exam, y. Which statement best describes the relationship between the variables?
AThere is a positive correlation between study hours and exam scores.
BThere is a negative correlation between study hours and exam scores.
CThere is no correlation between study hours and exam scores.
DThe correlation is constant regardless of the study hours.
The scatter plot below shows the relationship between the number of hours studied and the test scores for a group of students. Which statement best describes the relationship between the variables?
A student calculates a linear regression for a set of data and creates the residual plot shown below. Based on this residual plot, is a linear model appropriate for the data? Explain your reasoning.
AYes, because the residuals are randomly scattered.
BNo, because the residuals show a clear U-shaped pattern.
CYes, because all residuals are positive.
DNo, because the residuals are too far from the x-axis.