The owner of Showtime Movie Theatres Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Use 0.05 levelof significance.Historical data for a sample of eight weeks follow:Weekly GrossRenvenueTelelvisionNewspaperAdveritising($1000s)Adveritisinga)Develop an estimated regression equation to predict weekly gross revenue as a function of advertising expenditures.($1000s)($1000s)965.01.590202.0b)Explain in simgwhen 1000s are spent on television and newspaper then the revenue will in954.01.5922.52.5c)Predict weekly953.03,3943.52.3d)What is the R2 value?0.9190942.54.2943.02.5e)What is the Hypothesis Test?Use the t test to determine the significance of each independent variable. State the t test, p-values, and your conclusion.g)What is the corReject HoSUMMARY OUTPUTpression StatsticaMutiple R0.9586634440.9190356R Square0.88664984Adusted R SquareStandard Eror0.642587303ObervationsANOVASyaicance28.37776839 0.00186524231SSMS11.7177039Regression23.435407792Residual2.0645922080412918442Total255Standard ErorLower 95%1.573868952 52.88247894 0.00000004571 79.18433275 87 27585063 79.18433275Coeficievtst StatPvalueUpper 9%Lower 95.0%Upper 95.0%Intercept83.2300916987.27585063Telelvision Adveritising (1000136210.304064556 7.531899313 0.00065323166 1.508560796 3.071806446 1.508560796 3.071806446Newspaper Adverifaing (3000PO9e|0.320701597 4.056696662 0.0097607978 0476599398 2.125378796 0470599398 2.125378798|

Answered: Telelvision Newspaper Adveritising…

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

Don't do the the qestion the picture find test static and round two decimal places and p value and round theee decimal place
Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to predict the salary as a function of the other variables. What would the comparable salary be for a city with the following adjustments: groceries: 4%; housing: 8%; utilities: −3%; transportation: −1%; and health care: 7%? Use a level of significance of 0.05. Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to predict the salary as a function of the other variables. What would the comparable salary be for a city with the following adjustments: groceries: 4%; housing: 8%; utilities: −3%; transportation: −1%; and health care: 7%? Use a level of significance of 0.05. Determine the best multiple linear regression model to predict the salary as a function of the other rates. Select the best answer below and fill in the corresponding answer boxes to complete your choice. (Type integers or decimals rounded to…
25 A recent study examined several variables on soccer players, including the variable Years, which is number of years playing soccer, and the variable Percentile, which gives percentile on their cognitive reaction test. The regression line for predicting Percentile from Years is: Predicted Percentile = 101-3.24 Years Predict the cognitive percentile for 11 years. Note: the given years is within the domain of the original data used to create the predictive equation. Answers are to be given rounded to two decimal places.
[Regression Analysis] How do you solve this?
Urgently need help please
Regression using excel Conduct a multiple regression analysis for the following data. Use Assessed Value as the dependent variable and all others as independent variables. Which of the following independent variables are satistically significant? Use p < 0.05 FloorArea (Sq.Ft.) Offices Entrances Age AssessedValue ($'000) 4790 4 2 8 1796 4720 3 2 12 1544 5940 4 2 2 2094 5720 4 2 34 1968 3660 3 2 38 1567 5000 4 2 31 1878 2990 2 1 19 949 2610 2 1 48 910 5650 4 2 42 1774 3570 2 1 4 1187 2930 3 2 15 1113 1280 2 1 31 671 4880 3 2 42 1678 1620 1 2 35 710 1820 2 1 17 678 4530 2 2 5 1585 2570 2 1 13 842 4690 2 2 45 1539 1280 1 1 45 433 4100 3 1 27 1268 3530 2 2 41 1251 3660 2 2 33 1094 1110 1 2 50 638…
Canvas -→ X C0| ® E Exhibit 6 Part of an Excel regression output relating salary for programmer (dependent variable) with three independent variables: Test score, Graduate Degree, and Experience is shown below. Coeffic. Std. Err. t Stat P-value Intercept 7.9448 7.3808 1.0764 0.2977 Test Score 1.1476 0.2976 4.8561 0.0850 Grad. 0.1969 0.0899 2.1905 0.0011 Degree Experience -2.2804 1.9866 -1.0479 0.3679 Refer to Exhibit 6. Based on the Excel output, at 95% confidence (alpha = 0.05) which of the independent variables in the output contributes significantly to explain salary? O Experience Grad Degree Intercept Test score
Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 Sales q (billions) 0.5 3 1 2 2 Find the regression line (round coefficients to one decimal place). q(p) = 1.0166 X Use the regression line to estimate the demand (in millions of units sold) when the selling price was $320. 1016.6 million
Fill in the blanks.a. When a sum of squares is divided by its degrees of freedom, the ratio is called a _______.b. The F-statistic for testing the utility of a multiple linear regression equation is defined to be _______.c. The degrees of freedom for the F-statistic for testing the utility of a multiple linear regression equation involving k predictor variables are ________ and ______.
The mathematical equation relating the independent variable to the expected value of the dependent variable; that is, E(y) = b0 + b1x, is known as the? estimated regression equation. correlation model. regression equation. regression model.
Part C
The mathematical equation relating the independent variable to the expected value of the dependent variable that is, E(y) = ?0 + ?1x, is known as the correlation model. regression equation. estimated regression equation.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