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

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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…
A process has a process capability ratio, C, =1.38, At some time the process seems to have a mean shifted left of the center. The process capability index,Cpk, is found to be 0.78, and the mean is left-shifted, that is the current mean is mess than the mean of the control chart. Determine the Z (UTL) with respect to the current left-shifted mean.
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
The following table shows the price (in RM) and quantity (in kg) of four different items bought by 'Aleesya Coffee House' from 2008 to 2011: 2009 2011 Items Price Quantity (kg) Quantity (kg) Price (RM) (RM) Rice 8.20 210 9.15 280 Wheat 2.30 120 2.20 95 Sugar 1.30 550 1.65 550 Coffee 0.85 58 1.00 65 Calculate the Simple Average Quantity Index in 2011 compare to 2009 Select one: a. 122.53 b. 106.14 c. 113.75 d. 123.55
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 *%.
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You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 50%. Your sample data resulted in a test statistic of z = - 2.655. Find the p-value accurate to 4 decimal places. p-value =
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?

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