Correlation[1] - variable's values tend to increase, the...

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Variable A Variable B Correlation: positive, negative, minimal? Number of school lunch eligible students in the school Amount of funding received by the school for federal and state education-related programs Positive Impact of subsidy received Age of students at school Negative Number of classrooms connected to the Internet Student performance, as measured by standardized test scores Minimal Teachers’ comfort level with the Internet Ability of teachers to use Internet effectively with their students Positive Positive Correlation - t he relationship between two variables is such that as one variable's values tend to increase, the other variable's values also tend to increase. This is represented by a positive correlation coefficient. Example would be – the more games a basketball team wins, the more points they get. Negative Correlation - t he relationship between two variables is such that as one
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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 doesnt 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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