8. The table shown below is the hip hop data with the residuals for the linear model calculated in the third column. According to the residuals shown, is the linear
model "good" to use to make predictions? Why or why not?
best fit
43
5
-0.66155177
5
-0.60699004
45
5
-0.55242532
ould be
55
6
0.99322194
.9
+
61
6
1.3206103
35
62
6
1.375175
actual was
-hot dogs
- than
68
4
-0.29743664
icled...
72
-0.079177734
so close
would

(23*2)-12=x     x=34

step-by-step explanation:

1.3 million hoops i believe

answer is b

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: