If two variables have a high positive correlation, one may conclude that High va
ID: 3227437 • Letter: I
Question
If two variables have a high positive correlation, one may conclude that High values of one variable tend to be associated with high values of the other variable The correlation between them is not perfect Low values of one variable tend to be associated with low values of the other variable all of the above If r = .10 Predictions of values of Y from values of X are very accurate The relationship between X and Y is extremely high and positive The variables appear to be unrelated to each other All of the above Last semester I asked my students how many units they had competed in college. I then asked them how many units they needed in order to complete their four-year degrees. The correlation was most likely negative and very high positive and very high near zero perfect If r = + .44 between number of cavities and frequency of brushing. It appears brushing prevents cavities Oddly, it appears that there is a tendency for people who brush "a lot" to have more cavities and people who brush "a little" to have fewer cavities It appears that cavities arc not measured correctly Generally, the more people brush the fewer the cavities they have, and the more the cavities they have, the less they brush If a statistician says that he/she has computed a correlation value of 1.67 between how many pages there arc in textbooks and how much time it takes to read the textbooks, you should conclude that He/she should re-compute the correlation because 1.67 is impossible There is no relationship between how many pages there are in textbooks and how much time it takes to read the textbooks In general, the more pages there are, the fewer that are read Books with "more" pages take longer to read than books with "less" pagesExplanation / Answer
6:
High positive correlation does not mean perfect correlation coeffcient.
As one value increases second also increases and one decreases second also decreases.
So option d is correct.
7:
correlation coefficient is small so correlation between teh variables is week.
Option c is correct.