Why is extrapolation unreliable?

The trend may not continue beyond the data

A Spearman's rank value of $+0.9$ indicates:

strong agreement between the rankings

An interpolation when correlation is strong

a third factor, hot sunny weather, affects both

14questions. Pick an answer and you'll see why right away.

Points on a scatter diagram rise from bottom left to top right. This shows:
Points scattered with no clear pattern show:
A line of best fit should pass through the:
Estimating a value within the range of the data using the line of best fit is called:
Why is extrapolation unreliable?
Strong positive correlation between two variables proves that:
Spearman's rank correlation coefficient can take values:
A Spearman's rank value of $+0.9$ indicates:
In Spearman's formula $r_s = 1 - \dfrac{6\sum d^2}{n(n^2-1)}$ , the letter $d$ stands for the:
For $n = 5$ and $\sum d^2 = 0$ , Spearman's rank correlation coefficient is:
Before using Spearman's formula on raw scores, you must first:
Which statement describes a reliable prediction from a scatter diagram?
Ice cream sales and sunburn cases both rise in summer. The best explanation is:
On a scatter diagram, the explanatory variable is usually plotted on the: