The best answer from the options that proves that the residual plot shows that the line of best fit is appropriate for the data is: ( Statement 1 ) Yes, because the points have no clear pattern
X Given Predicted Residual value
1 3.5 4.06 -0.56
2 2.3 2.09 0.21
3 1.1 0.12 0.98
4 2.2 -1.85 4.05
5 -4.1 -3.82 -0.28
The residual value is calculated as follows using this formula: ( Given - predicted )
1) ( 3.5 - 4.06 ) = -0.56
2) ( 2.3 - 2.09 ) = 0.21
3) ( 1.1 - 0.12 ) = 0.98
4) (2.2 - (-1.85) = 4.05
5) ( -4.1 - (-3.82) = -0.28
Residual values are the difference between the given values and the predicted values in a given data set and the residual plot is used to represent these values .
attached below is the residual plot of the data set
hence we can conclude from the residual plot attached below that the line of best fit is appropriate for the data because the points have no clear pattern ( i.e. scattered )
learn more about residual plots : brainly.com/question/16821224
Answer:
27x-9y
3(9x-3y)
Step-by-step explanation:
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Answer:
i posted a picture
Step-by-step explanation:
Answer:
x = 21.4
Step-by-step explanation:
We need to use the law of sins
sin 42 sin x
--------- = ----------
22 12
12 sin 42 = 22 sin x
12 sin 42 /22 = sin x
Taking the inverse sin of each side
sin^-1(12/22 sin 42) = sin^-1(sin x)
21.40637223 =x
To the nearest tenth
x = 21.4