Answer:
Data Point B and Data point E
Step-by-step explanation:
Data point B and data point E are the farthest and are more distant away from the best line of fit compared to other data points. The more clustered data points are, the more the correlation that exists between the variables in question.
Therefore, data point B and data point E, will cause the correlation coefficient to decrease the most.
Answer:
3x^2+1.5x-9
Step-by-step explanation:
(f+g) (x)
=f(x)+g(x)
=x/2-3+3x^2+x-6
=3x^2+1.5x-9
Answer:
eorhpqwgg3iug
Step-by-step explanation:
wroi;o3gh3ng;on3;ogn;oh
Answer:
0.1
Step-by-step explanation:
anything after the decimal (.) becomes a sogfig
This is an exponential decay function of the form:
y=ab^x, In this case:
y=15000(0.8^t) so for t=3
y=15000(0.8^3)
y=$7680