Answer:
e= -5.41
Step-by-step explanation:
Hello!
In linear regression, a residual value is a distance between the observed values and the regression line.
The residual value (e) is calculated as the difference between the observed value (Y) and the predicted value (^Y).
e= Y - ^Y
e= 15.92 - 21.33 = -5.41
I hope it helps!
Answer:
36
Step-by-step explanation:
first, see the formula in the attached picture.
now, by applying that formula we get :
the coefficient of the x7y2 is :
9C7 = 36 (you can either use a calculator or just the algebraic formula)
Answer:
y = 
Step-by-step explanation:
Equation of a line has been given as,

Here, slope of the line = 
y-intercept = 
"If the two lines are parallel, there slopes will be equal"
By this property slope of the parallel line to the given line will be equal.
Therefore, slope 'm' = 
Since, slope intercept form of a line is,
y = mx + b
Therefore, equation of the parallel line will be,
y = 
Since, this line passes through a point (-6, 6),
6 = 
6 = 
b = 
b = 
b = 
Equation of the parallel line will be,
y = 
Answer:
1/2
Step-by-step explanation:
.5=1/2
Answer:
Yes
Step-by-step explanation:
Let's take any random multiple of 4 as an example:
8 = 2 • 4
64 = 2 • 32
20 = 2 • 10
Try any multiple of 4—this pattern continues.