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lalaween098
31.12.2019 •
Mathematics
Astatistics practitioner in a large university is investigating the factors that affect salary of professors. he wondered if evaluations by students are related to salaries. to this end, he collected 100 observations on:
y = annual salary (in dollars)
x = mean score on teaching evaluation
to accomplish his goal, he assumes the following relationship:
y = β(0) + β(1)x + ε
then, using excel’s data analysis, he obtained the following result.
r2=0.23
coefficient standard error
intercept 25675.5 11393
x 5321 2119
what is the p-value?
select one:
a. 0.02
b. 0.01
c. 0.17
d. 0.34
Solved
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Ответ:
Step-by-step explanation:
Hello!
Given the linear regression of Y: "Annual salary" as a function of X: "Mean score on teaching evaluation" of a population of university professors. It is desired to study whether student evaluations are related to salaries.
The population equation line is
E(Y)= β₀ + β₁X
Using the information of a n= 100 sample, the following data was calculated:
R²= 0.23
Coefficient Standard Error
Intercept 25675.5 11393
x 5321 2119
The estimated equation is
^Y= 25675.5 + 5321X
Now if the interest is to test if the teaching evaluation affects the proffesor's annual salary, the hypotheses are:
H₀: β = 0
H₁: β ≠ 0
There are two statistic you can use to make this test, a Student's t or an ANOVA F.
Since you have information about the estimation of β you can calculate the two tailed t test using the formula:
The p-value is two-tailed, and is the probability of getting a value as extreme as the calculated
under the distribution ![t_{98}](/tpl/images/0437/7764/c9514.png)
p-value < 0.00001
I hope it helps!
Ответ:
it takes away that many units