Question

1.You use a line of best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your data set is 0.984. How confident can you be that your predicted value will be reasonably close to the actual value?

A.I can't be confident at all; this is about as close to a random guess as you can get.

B.I can be a little confident ; it might be close, or it might be way off.

C.I can be very confident; it will be close, but it probably won't be exact.

D.I can be certain that my predicted value will match the actual value exactly.

Answer 1

b

Answer 2

the answer is b

Answer 3

A correlation coefficient of 1 is a perfectly exact correlation. A correlation coefficient near 1 is a high positive correlation. Meaning, these values are so close to the best line of fit, we can therefore be highly confident in predicting values.

Contrarily, a correlation coefficient of 0 is no correlation, and therefore, doesn't warrant any confidence in predictability.

Answer 4

I said B last time and some one said C because B and C I kind of alike @Cardinal_Carlo

"you said we can therefor be highly confident in predicting values. "
im confused. how do I solve this question :/

Answer 5

Henry receives a flat rate of $90 per day and can earn a $2.50 commission for each computer repair (r) he performs. Yolanda receives a flat rate of $75 per day and can earn $5.25 per computer sale (s) she makes. What two equations would model the wages Henry and Yolanda make each day?

Answer 6

can someone pelase help me with this??