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Answer:
The scientist applies his/her present knowledge to predict the effect of the independent variable or the dependent variable.
The prediction is a statement of the expected results of the experiment based on the hypothesis. The prediction is often an "if/then statement."
For example: If increasing fertilizer increases number of beans, then coffee bean plants treated with more fertilizer will have more beans.
Predictions provide a reference point for the scientist. If predictions are confirmed, the scientist has supported the hypothesis. If the predictions are not supported, the hypothesis is falsified. Either way, the scientist has increased knowledge of the process being studied.
For example, according to the above prediction, you would expect this graph: