The residual plot for a data set is shown. Based on the residual plot, which statement best explains whether the regression line
is a good model for the data set and why?
A.)The regression line is not a good model because there is no pattern in the residuals.
B.)The regression line is not a good model because only one point in the residual plot is on the x-axis.
C.)The regression line is a good model because the points in the residual plot are close to the x-axis and randomly spread around the x-axis.
D.)The regression line is a good model because the residuals approach 0 as x increases.
1 answer:
Yes, the correct answer for that is C.
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Answer:
He must pay $129.45 and the total amount due is $3,629.45.
Step-by-step explanation:
I (interest) =P (principal) x R (rate) x T (time)
I=3500x.09x150/365
I=129.45
A (amount due) = P (principal) + I (interest)
A= 3500 + 129.45
A= $3629.45
:) Brainliest pls?
Answer:
f(x) * g(x) = -35x^3 - 59x^2 - 74x - 72
Step-by-step explanation:
If f(x) = 7x+9 ang g(x) = -5x^2 - 2x - 8, then
f(x) * g(x) will be:
(7x+9)(-5x^2 - 2x -8)
f(x) * g(x) = -35x^3 - 59x^2 - 74x - 72
Step-by-step explanation:
Plug x in :
-8(7-3) = -32
Distribute :
-56 - (-24) = -32
Subtract :
-32 = -32