Answer:
- <u><em>D. No, because $100,000 is much greater than the values used in the experiment.</em></u>
<u><em></em></u>
Explanation:
<em>Correlations</em>, when have strong correlation coefficients, which r = 0.9 is, may be good predictors within the limits of the range of the data.
Trying to extrapolate the <em>linear relationship</em> between the variables, <em>x = advertising spending and y= product sales</em>, way beyond the limits of the data used for the study, is too risky, because the data may be linear just for some stages (ranges) but behave very different in other ranges.
As, the option D. states, <em>$100,000 is much greater that the values used in the experiment</em>; hence, the correlation would likely would not be a good predictor for that input.
Answer: A
Explanation: An endocrine disruptor
You take 800 times 22% so .22 and you get 176 move the decimal over one place and get 17.6$
To move around your burly body,
<span>The types of muscle you use are three, </span>
<span>Cardiac, smooth and skeletal; </span>
<span>When young they make you strong and virile.</span>
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