Unformatted text preview: variable's values tend to increase, the other variable's values tend to decrease. This is represented by a negative correlation coefficient. Example would be – the more cats out there, the fewer mice one would have in the barn. Minimal Correlation - t he relationship between two variables is such that as one variable's values tend to change, the other variable's values change insignificantly compared to the first variable. Example would be – even if the gas gets cheaper, we are not going to have significantly more buses on the streets, since the city doesn’t have that many of them. Widge Corp. could use correlation to figure out if the schools receiving funding would be willing to buy lunches from them. On the other hand they could compile a report to convince other schools to buy their lunches as that would allow them to get subsidies from the government....
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This note was uploaded on 06/14/2011 for the course ACCO 101 taught by Professor None during the Spring '11 term at Kings University College.
- Spring '11