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:
y=2x-1
Step-by-step explanation:
Answer:
54m^2
Step-by-step explanation:
Each square has a equal sides, which is 3m
in order to find the surface area, it's
Formula : Base x height = Area
The total surface area would be all the area's added together
3x3=9cm^2
so each square is 9m^2
there are 6 squares so
9+9+9+9+9+9=54m^2
or you can do 9x6=54m^2
You know you are finished dividing when you can no longer simply & when you plug it back in to check the answer
