Answer:
The line of best fit for your specific question is a linear equation.
Step-by-step explanation:
A linear equation has a constant rate of growth/decline and the growth/decline rate will never change in an linear equation.
If you draw a line that approximately splits between all the data plots, you will notice the line you drew is very close to the data points.
If the data plots was a quadratic, it would be very hard to draw a line of best fit.
Linear equations can easily be identified in a graph because it is a straight line.
Perhaps insert this equation into your graphing calculator or other graphing software online (like Desmos): y = 3x+2
A quadratic equation can also easily be identified in a graph because, in most cases, it looks like a U.
Take these examples: y =
or y=
First of all, move all terms to the same side:

You can factor an x, which means that
is a solution:

This expression is further factorizable if the quadratic equation has any solution. Using the quadratic formula, we can find that they are
So, we have

Answer:
2 × 2 × 3 = 12
Step-by-step explanation:
google
Answer:
See the explanation
Step-by-step explanation:
(a)
H0: Consultant with more experience has the higher population mean service rating.
H1: Consultant with more experience doesn't have the higher population mean service rating.
(b)
t = 1.9923 (see the attached image)
(c)
The degrees of freedom for the test statistic,
df = 16
The P-value of the one tailed t- test with 16 degrees of freedom is,
P−value = tdist(X,df,tails)
P-value = tdist(1.9923,16,1)
P-value = 0.032
(d)
Since, P-value 0.032 is less than the significance level 0.05, there is an enough evidence to reject the null hypothesis.
Hence, there is a sufficient evidence to conclude that Consultant with more experience doesn't have the higher population mean service rating.
Hope this helps!
Answer:
The system will be inconsistent.
Step-by-step explanation:
We are given that a system of linear equations has a 3×5 augmented matrix whose fifth column is a pivot column.
Then such a system is not consistent because since the augmented matrix has a pivot in fifth column it means that the new column added to the matrix A will lead to increase in the rank as that of matrix A.
Hence the rank of A and Augment A will not remain same and hence the system will be inconsistent.