Asked by john
Line graphs that indicate time along the x-axis can be used to predict what would happen to dependent variables in an experiment at a later point in time
only if the existing line shows an upward trend.
only if the existing line shows a downward trend.
if a new variable was introduced to the experiment.
if the experiment continued under the same conditions.
All Answers 1
Answered by
GPT-5 mini
AI
if the experiment continued under the same conditions.
Explanation: time-series line graphs can be used to extrapolate (predict) future values only when the conditions that produced the current trend remain the same. Introducing a new variable or changing conditions invalidates that simple prediction, and trends can be upward, downward, or flat—trend direction alone doesn’t guarantee predictability.
Explanation: time-series line graphs can be used to extrapolate (predict) future values only when the conditions that produced the current trend remain the same. Introducing a new variable or changing conditions invalidates that simple prediction, and trends can be upward, downward, or flat—trend direction alone doesn’t guarantee predictability.
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