Answer:
Solution-
We know that,
Residual value = Given value - Predicted value
The table for residual values is shown below,
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.
We know that,
If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.
As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.
Hope this helps!
Step-by-step explanation:
Answer:
B) 3
Step-by-step explanation:
add 5 to both sides, 4x=12
divide both sides by 4, x=3
Hello from MrBillDoesMath!
Answer:
10a. YES
10b. YES
10c. NO
10d . YES
Discussion:
If x = 12
10a. Does (3/4) 12 = 9? Does (36/4) = 9 = 9? YES
10b. Does 3x = 36? Does 3(12) = 36 = 36? YES
10c. Does 5x = 70? Does 5(12) = 60 = 70? NO
10d. Does x/3 = 4? Does 12/3 = 4 = 4 ? YES
Thank you,
MrB
Answer:
True.
Step-by-step explanation:
