The general manager of an engineering firm wants to know whether a technical artist’s experience influences the quality of his o
r her work. A random sample of 24 artists is selected and their years of work experience and quality rating (as assessed by their supervisors) recorded. Work experience (EXPER) is measured in years and quality rating (RATING) takes a value of 1 through 7, with 7 = excellent and 1 = poor. The simple regression model RATING =β1+β2EXPER+???? is proposed. The least squares estimates of the model, and the standard errors of the estimates, are
RATING = 3 204 + 0.076
EXPER (sc) (0.709) (0.044)
Sketch the estimated regression function with labeled axis.
Interpret the coefficient of EXPER.
RATING = 3 204 + 0.076
EXPER (sc) (0.709) (0.044)
Sketch the estimated regression function with labeled axis.
Interpret the coefficient of EXPER.
1 answer:
Answer:
Answer: The estimated equation is shown in the scattered plot diagram attached to the answer supplied
Step-by-step explanation:
(a) Attached scattered plot diagram
(b) Estimated regression equation:
Rating = 3.204 + 0.076 EXPER
b1= 3.204,
b2= 0.076
Se(b1)= 0.709
Se(b2) = 0.044
n=2
The coefficient of EXPER =0.076. This implies that the quality rating will increase by 0.076.
You might be interested in
Answer:
goes with
goes with
goes with
Step-by-step explanation:
by the addition identity for cosine.
We are given:
which if we look at the unit circle we should see
.
We are also given:
which if we look the unit circle we should see
.
Apply both of these given to:
by the addition identity for cosine.
Apply both of the givens to:
by addition identity for sine.
Now I'm going to apply what 2 things we got previously to:
by quotient identity for tangent
Multiply top and bottom by bottom's conjugate.
When you multiply conjugates you just have to multiply first and last.
That is if you have something like (a-b)(a+b) then this is equal to a^2-b^2.
There is a perfect square in 12, 4.
Divide top and bottom by 4 to reduce fraction:
Distribute: