Question: SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept FTUG FTGR FTEF CF FTST PRIVATE Regression Statistics

SUMMARY OUTPUT Multiple R R Square Adjusted R

SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept FTUG FTGR FTEF CF FTST PRIVATE Regression Statistics 0.884794007 0.782860435 0.781590613 18410.82796 1033 SS MS ignificance F F 1.25383E+12 2.09E+11 616.5119 6 0 1026 3.47772E+11 3.39E+08 1032 1.6016E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% ower 95.0%Jpper 95.0% -5531.733288 2179.46039 -2.53812 0.011292 -9808.44 -1255.02 -9808.44 -1255.02 -464.3859081 125.5255007 -3.69953 0.000227 -710.702 -218.07 -710.702 -218.07 2233.867891 360.4175859 6.197999 8.27E-10 1526.628 2941.108 1526.628 2941.108 2943.849015 341.1684579 8.628726 2.33E-17 2274.381 3613.317 2274.381 3613.317 -67.16572041 403.0246003 -0.16665 0.867675 -858.012 723.6809 -858.012 723.6809 2312.088007 114.6470547 20.16701 1.9E-76 2087.119 2537.057 2087.119 2537.057 9102.134249 1637.405066 5.558878 3.46E-08 5889.089 12315.18 5889.089 12315.18 df How many variables (slope coefficients) were statistically significant in this model (Model 1)? QUESTION 12 What is the predicted effect of an increase in graduate students on total cost per student (TC) in dollars? Use the original scale of the the variables to answer this question. Increase or decrease Effect in dollars QUESTION 13 Report what percentage of the variation in TC = Real total cost per student is explained by the model (R-squared). Report the value with 4 decimals and in the format found in the regression output (for example 0.3456). Refer to the CollegeCost dataset. In this question, we explore some of the factors predicting costs at American universities. Let TC = Real ($2008) total cost per student FTUG = Number of full-time undergraduate students (in 1000s) FTGR = Number of full-time graduate students (in 1000s) FTEF = Number of full-time faculty per 100 students CF = Number of contract faculty per 100 students FTST = Number of full-time nonacademic staff per 100 students PRIVATE; = 1 if i is a private school; 0 if i is a public school. Estimate the linear regression of TC on the above variables and report the estimated coefficients, use the output from Excel with 2 decimals or 4 decimals for very small numbers (example: 653.47 or 0.0345), this is Model 1 Yhat = BO+B1FTUG+B2FTGR+B3FTEF+B4CF+B5FTST+B6PRIVATE+& bo= -5531.73 b1 = -464.39 b2= 2233.87 b3= 2943.85 b4= -67.17 b5= 2312.09 b6- 9102.13

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related General Management Questions!

Stock Beta. In June 2021 Yahoo Finance reported the beta value for Coca-Cola was .61 (Yahoo Finance website). Betas for individual stocks are determined by simple linear regression. The dependent...

The following is a simple regression model created in Excel that attempts to estimate the capitalisation of a company (in millions) using a single independent variable (Current Price). (Please note:...

can someone explain what my coefficients mean in terms of my intercept and negative variables and also explain how this can be used as a marginal benefit SUMMARY OUTPUT Multiple R R Square Adjusted R...

Is this model of a good model to assess the performance of Intel? So the company that was assigned to you is Intel with the ticker I NTC Intel. So the question here is that is this model the former...

1a) Is b1 significantly different from 0 at =5%? Using the 95% confidence interval, explain how you know. b) Test the hypothesis H o : 1=0 vs. H 1 : 1 > 0. Using a one side test, is b1 significantly...

The digital marketing analytics team has started with an initial model where four independent variables X1, X2, X3, and X4 are considered and the following regression output has been generated:...

4:18 PM Sat Jun 25 . . . 85% C 4:18 PM Case B - Exhibit 1 Sat Jun 25 coursehero.com Lac_Leman_Fe... Case A - Exhibit 1 Cheez-it Doubl... www.scielo.br/j... law school in vi... William & Mary......

Use the following output for Questions 1 5. A realtor built a regression model to explain the selling price of homes in a large Midwestern city. The variables are: PRICE The sales price is measured...

a. What is the degrees of freedom of regression? b. What is the total degrees of freedom? c. What is the SSR? d. What is the MSR? e. What is the MSE? f. What is the F statistics? g. Test the model...

* Question Completion Status: In a study of life expectancy (x) versus literacy rate (y) in a variety of different countries, Excel was used to create a scatter plot and compute various statistics...

A+B+C=180 prove that sin 2 A+cosA sinB SinC =1+cosA co

Control is the process of monitoring the company's operations to determine whether the company's objectives are being achieved. Effective control is achieved through all of the following except: a....

Which of the following would not increase operating accruals? Question 5 options: Capital expenditures increase Accounts receivable increase Inventories decrease Accounts payable decrease

As the manager of Smith Construction, you need to make a decision on the number of homes to build in a new residential area where you are the only builder. Unfortunately, you must build the homes...