MYP Extended Mathematics 9.3 Interpreting Correlation Questionbank

A dataset is analyzed and found to have $r = -0.95$. According to the suggested exam-style sentence structure, which component explains why the correlation is 'strong'?

Why does the textbook state that 'meaning' depends on whether data is 'measured consistently' even if $r$ is calculated correctly?

True

False

Supports the negative direction of the reported $r \approx -0.19$

Contradicts the negative direction of the reported $r \approx -0.19$

Indicates a strong positive linear relationship

Proves that social media use causes a lack of television watching

Whether it makes sense to generalize beyond the sample

The total number of points being greater than 100

Whether the $y$-intercept of the line is positive

The color of the points on the scatter diagram

The $y$ values decrease as $x$ values increase

The points are tightly clustered around a line

The line of best fit has a very steep negative slope

There are no outliers in the dataset

Consistent measurements guarantee that correlation proves causation

Inconsistent measurements introduce noise that can distort the underlying linear relationship

Inconsistency always results in $r = 0$

Consistent measurements are required to ensure $r$ stays between -1 and 1