5.Data were collected from 175 pharmaceuticalcompanies. Monthly profit (in 10 M$) wasregressed on production cost, number ofworkers, and the location of the company (0:rural, 1: urban). The analysis results are givenbelow.Regress profit location cost workersSource |SSdfMSNumber of obs =175F( 3, 171)323Model | 14142.4781Residual | 2495.7314 1134714.15937Prob > F0.0000R-squaredAdj R-squared14.59492060.85030.8489Total | 16638.2095174 95.6218937Root MSE3.3422Profit|Сof.Std. Err.P>|t|[95% Conf. Interval]Location | -2.326Cost | -2.753Workers .07714_cons 52.701.7901811-4.780.000-1.7033-3.084.69770876.420.000-1.7549-4.1916.00864063.780.000.04476.1106602.92381815.43 0.00048.636256.7942Write a short report based on the above results.

Consider the provided data that shows regression analysis of Profit depends on the variables…

Answered: 5.Data were collected from 175…

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

Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.89(8.7) 50.0(8.6) Systolic blood pressure, mmHg 132.9(0.43) 132.9(0.43) Hypertension 1404(72.2) 1848(74.2) Use of anti-hypertensive medication 42(2.16) 102(4.10) Current smoker 1175(60.44) 1006(40.40) Total serum cholesterol, mg/dL 233.5(4235.60) 239.6(4621.97) Serum Glucose Stoke 193(0.09) 222(0) * Mean (Standard deviation) or n (%)
explain in detail this 2 way anova and graph
10. The following table is computed using data from 2012 from the Current Population Survey. Dependent Variable: Avg Hourly Earnings (AHE) The data set consists of information on 7440 full-time, full-year workers. The highest educa- | (1) | (2) | (3) tional achievement for each worker was either a high school diploma or a bachelor's degree. College (X) 8.31 8.32 8.34 The workers' age ranged from 25 to 34 years. The data set also contains information on the (0.23) (0.22) | (0.22) region of the country where the person lived, marital status, and the number of children. For Female (X2) the purposes of the exercises, let: AHE=average hourly earnings (in 2012 dollars) College=binary variable (1 if college or more than college education, 0 if less than a college -3.85 -3.81 -3.80 (0.23) (0.22) (0.22) Age (X3) 0.51 0.52 (0.04) (0.04) Northeast (X4) 0.18 education) Female=binary variable (1 if female, O if male) (0.36) Midwest (Xs) -1.23 Age= age (in years) Northeast=binary variable (1 if…
Use ”margin.table” to get the Titanic marginal table for factors 1 (class of accomodations) and 4 (survival). Apply the chi-square test to see if class and survival are dependent. Do it both by hand and with ”chisq.test” in R. Attached is the data output from R-studio. Please apply the chi-aquare test on that by hand method ASAP needed. Thanks.
Calculate the forecasted values of tempurature based on weeks using Moving Average with m = 3. Required: Complete the rest of the table: Week Tempurature Predicted |e| e^2 1 10 - - - 2 14 - - - 3 8 - - - 4 25 29 5 16 6 22 7 14 8 35 9 15 10 27 11 18 12 40 13 28 14 40 15 25 16 65 Calculate the MAE: Calculate the MSE: In which week was forecasted tempurature the furthest from the actual tempurature? Predict what the tempurate would be for Week 17
Explain the findings of this crosstab, including a description of the table, a calculation of the epsilons, and a discussion of the 10% rule. Explain what the output of the measure of association means in terms of strength and direction of the relationship. Interpret Proportional Reduction of Error (PRE) using the following statement: Knowing the IV will reduce error in predicting the DV by *%.
Suppose that three drugs used to reduce cholesterol are compared in a randomized experiment in which three people use each drug for a month. The data for the reductions in cholesterol level for the N = 9 participants follow. Drug 1 Drug 2 Drug 3 6 10 4 14 12 2 9 6 Calculate the F-statistic for comparing the mean cholesterol reductions for the three drugs. What is the value of F? (report to 2 decimal places) What are the degrees of freedom for this statistic - Between df? ,Within df?
5. Oxygen demand is a term blologists use to describe the axygen needed by fish and other aquatic organisms for survval. The Environmental Protection Agency conducted a study of a wetland area in Marin County, Californla. In this wetland environment, the mean oxygen demand was u=9.9 mg/L, and a= 1.7 mg/L. (Reference: EPA Report 832-R- 93- 005). Let x be a random varlable that represents oxygen demand in this wetland environment. Assume x has a probability distribution that is approximately normal. a. An oxygen demand below 8 mg/L Indicates that some organisms In the wetland environment may be dying. What is the probability that the oxygen demand will fall below 8 mg/L? b. A high oxygen demand can also indicate trouble. An oxygen demand above 12 mg/L may indicate an overabundance of organisms that endanger some types of plant life. What is the probability that the oxygen demand will exceed 12 mg/L?
10 (11) Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,476 1,482 Total Rooms 1,800 1,900 What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year Previous Year c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. p-value = Using a level of significance, what is your conclusion? We ______ that there has been an increase in the hotel occupancy rate. d. What is the 95 %confidence interval estimate of the change in occupancy for the one-year period (to 4 decimals)? ___ to ___
B6. Pinan Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table Source Regression Residual Total Regression output Variables Intercept Distance-X Answer the following questions. SS 1,864.5782 1,344.4934 3,209.07 Coefficients 12.3601 4.7956 df 1 28 29 MS 1,864.5782 48.0176 Std. Error 3.2915 0.7696 F 38.83 t(df=28) 3.755 6.231 a) Write out the regression equation. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? b) How much damage would you estimate for a fire 5 miles from the nearest fire station?
State the t critical value that would be used for a 99% interval based on a sample size of 37.
The prices of Rawlston, Inc. stock (y) over a period of 12 days, the number of shares (in 100s) of the company's stocks sold (x1), and the volume of exchange (in millions) on the New York Stock Exchange (x2) are shown below. 4. Perform an F test and determine whether independent variable and dependent variable are related. Fully interpret the meaning. Use α = .05 5. Conduct Residual Analysis and fully interpret the meaning. 6. If on a given day, the number of shares of the company that were sold was 94,500 and the volume of exchange on the New York Stock Exchange was 10 million, what would you expect the price of the stock to be? GRAPH IS SHOWN BELOW

SEE MORE QUESTIONS

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