<span>6 - 3(4 - 3x)
= 6 - 12 + 9x
= 9x - 6
hope it helps</span>
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:
c) only Anne
Step-by-step explanation:
I just did the test. Hope this helps! : )
The missing numbers are 3, and 7
the pattern is +2 to each number
Answer:
About 20%
Step-by-step explanation:
The probability of a point on the un-shaded region will be given by;
Area of the shaded region/total area
Considering that the circles are of the same size, then the length of the square is 2d
Area of the square = 4d²
Area of the shaded = (4d² -4π(d/2)²
= 4d² -πd², but π = 22/7
= 6/7d²
Probability = (6/7d² ÷ 4d²) × 100%
= (6/28 d²) × 100%
= 21.42 %
Therefore; the answer is about 20%