Do movies of different types have different rates of return on their budgets? Here's a regression of USGross (SM) onBudget for comedies and action movies with an indicator variable. Complete parts (a) through (d).Dependent variable is: USGross ($M)Coefficient SE(Coeff)- 6.7827816.951.00523VariableConstantBudget ($M)Comedy24.03730.161311.73t-ratio P-value-0.4000.69076.23 <0.00012.050.0451a) Write out the regression model.USGross = + ( Budget + (ComedyR-squared = 32.8%R-squared (adjusted) = 31.0%s = 47.5155 degrees of freedom

Here the dependent variable (y) is US Gross.There are two independent variables. Budget (x1)…

Answered: a) Write out the regression model.…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

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ISBN:9780079039897

Author:Carter

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Chapter4: Equations Of Linear Functions

Section: Chapter Questions

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A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ý (profit) = bo + b₁XRisk + b₂XR&D + b3Xwc + b4Xec + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…
A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Y (profit) = bo + b₁XRisk + b₂XR&D +b3Xwc + b₁XEC + b5XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR (X) = 2573.72, SSR(X₁) = 2600.7, SSR(X₂|…
A company that focuses on research and development (R&D) is interested in the relationship between profit and some variables that can explain profit variations. They want to predict the profits of some new and exciting projects because some are risky. The predictor variables considered are: RISK which is a company derived metric, R&D which is the research and development costs, REGION (WC, EC and KZN) and average per capita income (INCOME in R1000.00). The analyst decides to estimate the regression function with the following response function. Ỹ (profit) = bo + b₁XRisk + b₂X R&D +b3Xwc + b₁XEC + b₂XINC Answer the following questions. 4.1. The analyst considered the fact that the effects of multicollinearity may influence some analytical and visual conclusions. Use the following results to show the process of establishing by using 5 extra sums of squares whether there is that multicollinearity present or not. Explain and interpret in detail. SSR(X) = 2573.72, SSR(X₁) = 2600.7,…
What percentage of the variability in the amout of fuel used can be explained by the variability in the distance? Determine the regression line for distance and amount of fuel used?

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a) Write out the regression model. USGross = + ( Budget + Comedy