
Statistics and Regression Quiz
Quiz
•
Mathematics
•
University
•
Practice Problem
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Medium
+2
Standards-aligned
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44 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What can cause a correlation between two variables even when there is no direct causal relationship?
A third confounding variable influencing both
A perfect linear relationship
A measurement error in the data
A completely random dataset
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of linear regression?
To find the average value of a variable
To predict the value of a dependent variable based on independent variables
To determine the correlation between two variables
To minimize the variance in the data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a correlation coefficient of -0.9 indicate about two variables?
They are perfectly positively correlated
They are weakly correlated
They are strongly negatively correlated
They have no relationship
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a linear regression model, what is the role of the independent variable?
It is the variable being predicted
It causes the change in the dependent variable
It represents the relationship between two variables
It determines the slope of the regression line
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best exemplifies the importance of statistical data in decision-making?
Statistical data helps to reinforce biases in decision-making
Statistical data offers a more objective basis for decision-making
Statistical data is only useful in scientific contexts
Statistical data is not necessary for making everyday decisions
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When would you use linear regression over other statistical models?
When the data points are categorical
When you need to identify a relationship between two or more continuous variables
When the data is not linear
When you need to predict discrete values
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these is a potential consequence of not using data appropriately in decision-making?
Enhanced precision
Uninformed or biased decisions
Faster decision-making
Decreased efficiency
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