Answer:
The carbon dioxide would affect the photosynthetic producers, which would change the primary productivity.
Explanation:
Answer:
- <u><em>D. No, because $100,000 is much greater than the values used in the experiment.</em></u>
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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:
it can be irasoponsible if there not safe
Explanation:
they could end up with an std or an inwanted baby