Lesson 2.02c
2.02c Bivariate data Quiz: OCR Maths, Unit 12
20 questions
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Lesson 2.02c, Bivariate data: 20 multiple choice questions for the OCR Maths (H240), Unit 12: Data Presentation and Interpretation, written with Revision Ninja.
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The 20 questions
-
What describes a positive correlation between two variables on a scatter diagram?
- One increases one decreases
- Both remain constant
- Both increase together
- No pattern exists
-
Why does strong correlation between two variables not prove that one causes the other?
- Third factor acting
- Data always invalid
- Variables independent
- Correlation purely random
-
What is the main practical use of a linear regression line?
- Proving causal relationships
- Identifying outlier limits
- Calculating exact probabilities
- Predicting dependent values
-
What do distinct clusters on a scatter diagram suggest about a population?
- Strong linear correlation
- Distinct sub-populations
- Perfect causation
- Uniform distribution
-
How are data points arranged on a scatter diagram showing weak negative correlation?
- Loosely spread upwards
- Loosely spread downwards
- Tightly clustered upwards
- Tightly clustered downwards
-
What is the process of predicting values outside the range of given data called?
- Interpolation
- Correlation
- Regression
- Extrapolation
-
Which variable is conventionally plotted on the horizontal x-axis of a scatter diagram?
- Extrapolated variable
- Dependent variable
- Response variable
- Explanatory variable
-
What does a strong positive correlation between ice cream sales and temperature demonstrate?
- Direct causation
- Association, not causation
- Zero correlation
- Inverse proportion
-
A regression line is y = 2x + 3. What is the predicted y when x = 10?
- 13
- 23
- 20
- 32
-
Using a model fitted for x between 0 and 20 to estimate y at x = 50 is called what?
- Extrapolation
- Integration
- Interpolation
- Standardisation
-
If a scatter diagram shows two separate clusters, how should regression lines be fitted?
- Fit lines separately
- Fit one line
- Fit horizontal line
- Ignore both clusters
-
What layout of points on a scatter diagram indicates strong negative correlation?
- Tight downward trend
- Loose upward trend
- Random scattered points
- Tight upward trend
-
A correlation of 0.8 between study hours and exam scores indicates what type of relationship?
- No linear relationship
- Weak negative association
- Strong positive association
- Definite direct causation
-
On a scatter diagram, what is a single point far from the rest called?
- A cluster
- An outlier
- The median point
- A residual of zero
-
Shoe size and reading ability in children are positively correlated. What is the most likely lurking variable?
- Age
- Shoe size
- Reading ability
- Gender
-
If all data points lie exactly on a line with a positive gradient, what is the correlation?
- Strong negative correlation
- Weak positive correlation
- Perfect positive correlation
- Zero correlation
-
Why is fitting a single regression line to data with distinct sections inappropriate?
- Requires more data
- Forces negative gradient
- Misrepresents distinct groups
- Calculates zero correlation
-
What type of relationship can still exist between two variables if linear correlation is zero?
- Perfect correlation
- Strong linear relationship
- Direct causation
- Non-linear relationship
-
Why does a high correlation between fire engines and fire damage not prove causation?
- Extrapolation occurred
- Sample too large
- Correlation is negative
- Lurking variables exist
-
What is the main drawback of fitting one regression line across two separated clusters?
- Poor overall fit
- Guarantees perfect accuracy
- Changes data values
- Always zero gradient
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