Question

Suppose the following table was generated from the sample data of 20 campuses relating the total...

Suppose the following table was generated from the sample data of 20 campuses relating the total number of crimes committed to the number of police officers on campus and if the college or university is private.

Coefficients Standard Error t-stat P-Value
Intercept 559.505805 19.468953 28.738361 0.000000
# of officers -6.845383 0.631437 -10.840960 0.000000
Private (1 if private, 0 otherwise) -55.712802 8.049521 -6.921257 0.000002

Step 1 of 2: In this regression equation, what is the intercept value for colleges or universities that are public? Enter your answer in the space provided. Do not round your answer.

Step 2 of 2: In this regression equation, what is the intercept value for colleges or universities that are private? Enter your answer in the space provided. Do not round your answer.


Homework Answers

Answer #1

Looking at the coefficient column from the table, we have here:
Intercept = 559.505805

And the dummy variable for Private: -55.712802

Step 1: The intercept value for colleges of universities that are public is computed here as:
= Intercept + 0*Private

= 559.505805

Therefore 559.505805 is the required intercept for colleges or universities that are public.

Step 2: We are given here that the Private is 1 for private university, therefore the intercept here is computed as:
= Intercept + Private

= 559.505805 - 55.712802

= 503.793003

Therefore 503.793003 is the required intercept here.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose the following table was generated from the sample data of 20 20 campuses relating the...
Suppose the following table was generated from the sample data of 20 20 campuses relating the total number of crimes committed to the number of police officers on campus and if the college or university is public. Coefficients Standard Error t Stat P-Value Intercept 565.130664 565.130664 18.192314 18.192314 31.064254 31.064254 0.000000 0.000000 Number of Officers −7.434598 −7.434598 0.565905 0.565905 −13.137537 −13.137537 0.000000 0.000000 Public (1 if public, 0 otherwise) −42.284220 −42.284220 6.212333 6.212333 −6.806496 −6.806496 0.000003 0.000003 Step 1 of...
Suppose the following table was generated from the sample data of 2020 teachers relating annual salary...
Suppose the following table was generated from the sample data of 2020 teachers relating annual salary to months of teaching experience and gender. Coefficients Standard Error t Stat P-Value Intercept 39456.64693339456.646933 244.443412244.443412 161.414237161.414237 0.0000000.000000 Months of Experience 61.40231861.402318 8.6513608.651360 7.0974187.097418 0.0000020.000002 Female (1 if female, 0 if male) 874.703963874.703963 250.099136250.099136 3.4974293.497429 0.0027590.002759 Step 1 of 2: In this regression equation, what is the intercept value for men? Enter your answer in the space provided. Do not round your answer. Step...
Suppose the following table was generated from the sample data of 20 employees relating annual salary...
Suppose the following table was generated from the sample data of 20 employees relating annual salary to years of education and gender. According to the results, is there a salary difference between men and women at the 0.05 level of significance? If yes, write the difference in salary in the space provided, rounded to two decimal places. Else, select "There is not enough evidence." Coefficients Standard Error t Stat P-Value Intercept ?24331.924717 3419.740424 ?7.115138 0.000002 Education 4578.868673 214.295364 21.367092 0.000000...
Suppose the following table was generated from the sample data of 20 employees relating annual salary...
Suppose the following table was generated from the sample data of 20 employees relating annual salary to years of education and gender. According to the results, is there a salary difference between men and women at the 0.05 level of significance? If yes, write the difference in salary in the space provided, rounded to two decimal places. Else, select "There is not enough evidence." Coefficients Standard Error t Stat P-Value Intercept −15910.435186 1986.259992 −8.010248 0.000000 Education 4129.465091 114.058730 36.204726 0.000000...
Suppose the following regression equation was generated from sample data relating salary to years of experience,...
Suppose the following regression equation was generated from sample data relating salary to years of experience, marital status, and the interaction term of years of experience and marital status. Marital status is a dummy variable where MARRIEDi=1MARRIEDi=1 if employee i is married and MARRIEDi=0MARRIEDi=0 if employee i is single. SALARYi=58316.795901+790.675473EXPERIENCEi+1222.075701MARRIEDi−36.766201EXPERIENCEiMARRIEDi+ei 1) In this regression equation, what is the intercept value for married employees? 2)In this regression equation, what is the value of the slope for married employees?
The following table was generated from the sample data of 10 college students regarding the number...
The following table was generated from the sample data of 10 college students regarding the number of parking tickets the student receives in a semester, the student's age, and the student's GPA. The dependent variable is the student's GPA, the first independent variable (x1) is the number of parking tickets, and the second independent variable (x2) is the student's age. Coefficients Standard Error t-Stat p-value Intercept −8.593245 1.831876 −4.690952 0.005381 Number of Parking Tickets −0.023715 0.045205 −0.524623 0.622265 Student's Age...
The following table was generated from the sample data of 1010 junior high students regarding the...
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night....
The following table was generated from the sample data of 10 junior high students regarding the...
The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1) is the number of hours unsupervised each night, and the second independent variable (x2) is the number of hours of video games each night....
The following table was generated from the sample data of 1010 junior high students regarding the...
The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night....
Suppose the following table was generated from sample data of 2020 employees relating hourly wage to...
Suppose the following table was generated from sample data of 2020 employees relating hourly wage to years of experience and whether or not they have a college degree. Using statistical software, create an indicator (dummy) variable for the variable "Degree" and find the regression equation. Is there enough evidence to support the claim that on average employees with a college degree have higher hourly wages than those without a college degree at the 0.050.05 level of significance? If yes, write...