The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Usingthe summary output below to answer, what is the meaning (analysis) of the coefficient of determination?SUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErrorObservationsANOVARegression StatisticsRegressionResidualTotal0.987060.974288df0.9721458.1067941411213SS29883.07788.641230671.71MS29883.0765.7201F454.7022Significance F6.59E-11 Coefficients1.5180530.668591Standard Error3.2489290.031354InterceptAdmissionsA) is the value of Expenses with one unit increase in AdmissionsB) is the value of Expenses when Admissions is 0 or not an impactC) represents significance when compared to .05 level of significanceOD) is the variance in Expenses that is accounted for by AdmissionsOE) is the strength and direction of the relationshipt Stat0.46724721.32375P-value0.6486936.59E-11Lower 95%-5.560750.600276Upper 95%8.596860.736907

Answered: The total expenses of a hospital…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Hi I need help with the second question "What is the best model using the t-statistic criteria? Select the best answer below and fill in the answer boxes to complete your choice." Please let me know what option to choose from A-G and what numbers to put in the boxes.
Please help interpret this SPSS output of a multiple regression analysis result? DV- To what extent the product safety incident have changed your perceptions of the involved brand(s) IV'S- Trustworthy , Reliability , I don’t know how good the company’s products will be before I buy it. , Preventability
The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the X variable B1? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regression Statistics Intercept Admissions df 0.98706 0.974288 0.972145 8.106794 14 Coefficients 1 12 13 1.518053 0.668591 SS 29883.07 788.6412 30671.71 Standard Error 3.248929 0.031354 MS 29883.07 65.7201 t Stat 0.467247 21 32375 F 454.7022 P-value 0.648693 6.59E-11 Significance F 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0736907
Please interpret clearly and how to do if based on the tables and charts presented below, interpret the results and report your answer with an academic style. How should interpret assumptions of the technique used.
Please fill in the blanks and select the correct answers over the image provided. Thank you
Data for 34 results are given below: Source SS Regression Residual Total 2,306,075.92 1,217,176.18 3,823,252.10 ABC df 1 32 33 MS 2,306,075.92 47,411.76 Based on the results what do you conclude and why using a = .05? F
Thius excel worksheet was based on specific independent and dependent variables. Think of another independent variable that you think would be a better predictor of the dependent variable. Give the name of that variable and explain why you think this would be a better predictor than the current independent variable.
Rewrite the regression model to include coefficients from your regression analysis output and then answer the following question What would be the company's loss if the significant variable(s) change per unit? SUMMARY OUTPUT Regression Statistics Multiple R 0.93082 R Square 0.866425 Adjusted R Square 0.85833 Standard Error 4108.993 Observations 36 ANOVA df SS MS F Significance F Regression 2 3.61E+09 1.81E+09 107.0261 3.75E-15 Residual 33 5.57E+08 16883824 Total 35 4.17E+09 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 3996.678 6603.651 0.605223 0.549171 -9438.55 17431.91 -9438.55 17431.91 X Variable 1 43.5364 3.589484 12.12887 1.05E-13 36.23354 50.83926 36.23354 50.83926 X Variable 2…
What is a residual for a multiple regression model and the data that is used to create it? Select one. Question 3 options: A statistic that explains the relationship between response and predictor variables The predicted value of the response variable using the multiple regression model A statistic that is used to evaluate the significance of the multiple regression model The difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression model

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS