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:
Step-by-step explanation:
<u>Logarithms</u>
Some properties of logarithms will be useful to solve this problem:
1.
2.
3.
We are given the equation:
Applying the second property:
Substituting:
Applying the first property:
Operating:
Rearranging:
Simplifying:
Dividing by 3:
Applying the third property:
Applying inverse logs:
Answer:
1, 3, 7, 21!
Step-by-step explanation:
Answer:
The numbers are 12, 21.
Step-by-step explanation:
x+(x+9)=33
x+x+9=33
2x+9=33
2x=33-9
2x=24
x=24/2
x=12
--------
x+9=12+9=21
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