What can predict how much a motion picture will make? The statistics computed below use data...
What can predict how much a motion picture will make? Data on a number of recent releases that includes the Gross ($M), the Budget ($M), the Run Time (minutes), and the average number of Stars awarded by reviewers was collected and a regression model was created to predict Gross. Use the computer output given below to complete parts a through d. Dependent variable is: Gross Rsquared = 42.1%, R squared (adjusted) = 40.6% s = 46.33 with 120 - 4...
What can predict how much a motion picture will make? Data on a number of recent releases that includes the Gross ($M), the Budget ($M), the Run Time (minutes), and the average number of Stars awarded by reviewers was collected and a regression model was created to predict Gross. Use the computer output given below to complete parts a through d. c) What null hypothesis can you test with it? A. Upper H 0H0: beta Subscript BudgetβBudgetequals=beta Subscript Run TimeβRun...
The first photo is the data I had collected in Minitab.I am confused on what the b1= to then get the degree of freedom. I need this information to answer question 16 to plug in the right information in minitab to get t*multiplier. Overall need help with getting the answer to #16 so then I can continue the rest of the problems. Thanks! (also for 17 what is S.E.) Regression: icu versus age Simple Analysis of Variance Source DF Adj...
2. What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script. 3. Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model?...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...
10. Write a one-page summary of the attached paper? INTRODUCTION Many problems can develop in activated sludge operation that adversely affect effluent quality with origins in the engineering, hydraulic and microbiological components of the process. The real "heart" of the activated sludge system is the development and maintenance of a mixed microbial culture (activated sludge) that treats wastewater and which can be managed. One definition of a wastewater treatment plant operator is a "bug farmer", one who controls the aeration...