QUESTION 11The 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 correlation coefficient?SUMMARY OUTPUTMultiple RR SquareAdjusted R SquareStandard ErrorObservationsANOVARegressionResidualTotalRegression StatisticsInterceptAdmissionsClick Save and Submit to sava anddf0.987060.9742880.9721458.106794Coefficients14112131.5180530.668591SS29883.07788.641230671.71Standard Error3.2489290.031354MS29883.0765.7201t Stat0.46724721.32375F454.7022P-value0.6486936.59E-11Significance F6.59E-11Lower 95%-5.560750.600276Upper 95%8.596860.736907 OA) .9774288OB) 1.51OC).98706OD) .668591OE) 6.59E-11

From the summary output, R Square value is given as 0.974288 (interpreted from the "Regression…

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

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Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y= 3.84 +0.14x. Theater revenue, x (in millions of dollars) 30.7 60.6 25.4 28.4 36.5 13.2 14.5 7.1 61.4 21.0 49.7 25.3 65.8 26.9 44.3 Send data to calculator V Rental revenue, y (in millions of dollars) Send data to Excel 4.6 16.1 6.6 2.8 12.4 10.2 3.1 3.6 10.0 5.7 16.1 9.1 9.3 11.3 7.8 Rental revenue (in millions of dollars) 18- 16+ 14+ 12+ 10- 81 6. 0 10 *…
Process the following data and interpret them, namely: - The Regression Equation! - Determine the correlation coefficient and explain the meaning of its value. How do you determine the sign of the correlation coefficient?
Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y=3.60+0.15x Based on the studio's data and the regression line, answer the following. (a) From the regression equation, what is the predicted rental revenue (in millions of dollars) when the theater revenue is 12.8 million dollars? Round your answer to one or more decimal places. (b) What was the observed rental revenue (in millions of dollars) when the…
See the attached image for the introduction. Question: Fill in a blank ANOVA table.
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Using a sample of 46 college students, we want to determine if there is a significant correlation between weight (in lbs.) and weekly exercise (in minutes). The results of a correlation and regression analysis are indicated in the Excel output below. The mean weight (the independent variable) was 166.80 lbs., and the mean weekly exercise time (the dependent variable) was 158.83 minutes. SUMMARY OUTPUT Regression Statistics Multiple R 0.027082077 R Square 0.000733439 Adjusted R Square -0.021977165 Standard Error 79.41761298 Observations 46 ANOVA df SS MS F Significance F Regression 1 203.6896 203.6896 0.032295 0.858207 Residual 44 277514.9 6307.157 Total 45 277718.6 Coefficients Standard Error t Stat P-value Lower 95%…
Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is ŷ=3.38+0.15x. Theater revenue, x (in millions of dollars) Rental revenue, y (in millions of dollars) 21.0 5.5 60.9 10.0 61.0 16.0 27.5 3.1 36.7 12.7 30.6 5.7 14.8 2.0 49.6 15.7 13.1 10.2 25.9 8.9 44.1 6.5 66.9 9.5 27.5 11.8 24.9 7.9 6.9 1.5 Send data to calculator Send data to Excel Rental revenue (in millions of dollars) 18- 16+ x 14 12 10+ x 50 60 70…
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