2 Nadya is worried about poor people disproportionately exposed to pollution. She suggests themodel where pollution in the area is regressed on average housing price in that area, and thenumber of pro-environmental voters in the area. She also knows that housing price in the areadepends on pollution in the area, and the number of good schools in this area. Assuming that allthe variables are significant and there are no other omitted variables affecting the dependentvariables, can Nadya use Indirect Least Squares in this setting?O TrueO False

Exposed to Pollution Variables: 1 Pollution in the area 2 Schools in the location 3 Housing…

Answered: Nadya is worried about poor people…

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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In the vast country of China lives one of the critically endangered species in the world, called the South China Tiger. Suppose enough jungle preserve is set aside so that there is suffcient room for more territories of this tiger specie than there are actual South China Tigers themselves. Hence, there will be no danger of overcrowding. But if the population is too small, the South China Tigers will have difficulty finding each other during mating season. 1. Identify the independent and dependent variables, and the parameters to be used. 2. Construct a population model based on the relevant assumptions. 3. Write a differential equation that models the population of South China Tigers.
What is the dependent variable for a toothpaste manufacturer claims that children brushing their teeth daily with his company’s product (Brand A) will have fewer cavities than children using Brand X. In a carefully supervised study, the number of cavities in a sample of children using brand A toothpaste was compared with the number of cavities among children using Brand X.
An aircraft company wanted to predict the number of worker-hours necessary to finish the design of a new plane. Relevant explanatory variables were thought to be the plane’s top speed, its weight, and the number of parts it had in common with other models built by the company. A sample of 27 of the company’s planes was taken, and the following model was estimated:y = β0 + β1x1 + β2x2 + β3x3 + εwherey = design effort, in millions of worker-hoursx1 = plane’s top speed, in miles per hourx2 = plane’s weight, in tonsx3 = percentage number of parts in common with other modelsThe estimated regression coefficients were as follows:b1 = 0.661 b2 = 0.065 b3 = -0.018and the estimated intercept was 2.0.Predict design effort for a plane with a top speed of Mach 1.0, weighing 7 tons, and having 50% of itsparts in common with other models.
In MANOVA, main effects and interaction are assessed on multiple dependent variables (DVs). True or False
A manufacturer of salad dressings uses machines to dispense liquid ingredients into bottles that move along a filling line. The machine that dispenses salad dressings is working properly when 8 ounces are dispensed. Suppose that the average amount dispensed in a particular sample of 35 bottles is 7.91 ounces with a variance of 0.03 ounces squared. Is there evidence that the machine should be stopped and production wait for repairs? The lost production from a shutdown is potentially so great that management feels that the level of significance in the analysis should be 99%. (solve without excel)
A manufacturer of salad dressings uses machines to dispense liquid ingredients into bottles that move along a filling line. The machine that dispenses salad dressings is working properly when 8 ounces are dispensed. Suppose that the average amount dispensed in a particular sample of 35 bottles is 7.91 ounces with a variance of 0.03 ounces squared. Is there evidence that the machine should be stopped and production wait for repairs? The lost production from a shutdown is potentially so great that management feels that the level of significance in the analysis should be 99%.
The t-test on individual model coefficients is a test on the significance of the coefficient of apredictor as if it were the last variable added to a model that already contains all the otherpredictors. (true or false?)
A researcher is trying to determine whether exposure to solvents is associated with the risk of liver cancer. From a cohort study of industrial workers, they found that three persons who worked with solvents developed liver cancer and 104 did not. Two cases of liver cancer occurred among non-exposed workers in the same type of industry. The remaining 601 non-exposed workers did not develop liver cancer. Calculate the relative risk.
The Us food and Drug administration has a limit for mercury content in fish of 1.0ppm (parts per million) while in Canada the limit is 0.5 ppm. Using the variable average mercury in the Florida lakes dataset to test whether there is evidence that average mercury level of fish ( large mouth Bass) in Florida lakes is less than 1.0ppm and whether there is evidence that average mercury level of fish in Florida lakes is less than 0.5ppm. STATE THE NULL AND ALTERNATIVE HYPOTHESES? GIVE THE TEST STATISTICS AND P-VALUE? round the test statistic to two decimal places and the p-value to three decimal places. DOES THIS SAMPLE PROVIDE EVIDENCE THAT THE AVERAGE MERCURY LEVEL OF FISH (LARGE MOUTH BASS) IN FLORIDA LAKES IS LESS THAN 1.0PPM? LESS THAN 0.5 PPM : STATE THE NULL AND ALTERNATIVE HYPOTHESES. GIVE THE TEST STATISTICS AND P-VALUE ? round the test statistic to two decimal places and the p-value to three decimal places. DOES THIS SAMPLE PROVIDE EVIDENCE THAT THE AVERAGE MERCURY…
The director of an obesity clinic in a large northwestern city believes that drinking soft drinks contribute to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following pilot study. Eight- 12-year-old male volunteers are randomly selected from children attending a local junior high school. Parents of the children are asked to monitor the number of soft drinks consumed by their child over a one week period. The children are weighed at the end of the week and their weights converted into body mass index (BMI) values. The BMI is a common index used to measure obesity and takes into account both height and weight. An individual is considered obese if they have a BMI value 30. The following data or collected: child. # of soft drinks consumed BMI 1 3 20 2 1 18 3…
Suppose that in a research it was discovered that those who majored in math, engineering, or computer science scored higher on tests measuring "problem-solving" ability at the end of 4 years of college than did those students who did not major in these fields. What is the dependent variable in this study? Is the dependent variable clearly defined?
Is the dependent variable is always dependent to the independent variable(s) of the study? Why?

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