Which of the following scatterplots suggests a linear relationship between the bivariate sets of data?
8.5CD, 8.11AB - Interpretation of Data

Quiz
•
Mathematics
•
8th Grade
•
Hard
Hector Luevanos
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A scatterplot with points forming a straight line.
A scatterplot with points forming a curve.
A scatterplot with points scattered randomly.
A scatterplot with points forming a circle.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of a trend line in a scatterplot?
To connect all the data points exactly.
To approximate the linear relationship between the data sets.
To highlight the outliers in the data.
To make the scatterplot look more complex.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes a scatterplot with no association?
The points form a straight line.
The points form a clear curve.
The points are randomly scattered with no discernible pattern.
The points form a cluster in one area.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you determine if a scatterplot shows a nonlinear relationship?
The points form a straight line.
The points form a curve or other non-linear pattern.
The points are randomly scattered.
The points form a perfect circle.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the mean absolute deviation (MAD) used for in a data set?
To find the maximum value in the data set.
To measure the average distance data points are from the mean.
To calculate the median of the data set.
To determine the range of the data set.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Given the data set: 3, 7, 7, 2, 9, what is the mean absolute deviation?
2
2.4
3
3.2
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If a trend line in a scatterplot has a positive slope, what does this indicate about the relationship between the variables?
As one variable increases, the other decreases.
There is no relationship between the variables.
As one variable increases, the other also increases.
The variables are inversely proportional.
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