A point is removed, and the line of best fit is recalculated. The new correlation coefficient is 0.98. Does the point appear to have been an outlier? Why? Yes, the point appears to be an outlier because the strength of the line decreased dramatically, meaning it is a better estimation for the data. Yes, the point appears to be an outlier because the strength of the line increased dramatically, meaning it is a better estimation for the data. No, the point does not appear to be an outlier because the strength of the line decreased dramatically, meaning it is not a better estimation for the data. No, the point does not appear to be an outlier because the strength of the line increased dramatically, meaning it is not a better e

the  office resources  are the human, physical and financial  resources  which are utilized for performing all the activities in order to achieve the organizational objectives.

happy to

pls mark as brainliest

part a

x     y

0     8

1     7.5

2     7

3     6.5

4     6

5     5.5  

for every hour i deducted .5 inches from the length of the candle

part b

it is a function because for every x value there is only one y value

part   c

for every x value there is only one y value

x       y

0       8

1       7.6

2       7.2

3       6.8

step-by-step explanation:

take the logarithm of both sides (the base of the log doesn't matter):

apply the exponent property - this says that :

distribute the log terms on both sides:

group like terms together:

divide through both sides by the coefficient on :

you can do some additional rewriting here using the properties of the logarithm to simplify things if you like: