1.7 Degrees of freedom (d.f.) =n-k, where k represents...a. the number of explanatory variables excluding the intercept term.b. the number of dependent variables excluding the intercept term.c. the number of explanatory variables including the intercept term.d. the number of explanatory variables excluding the slope term.e. the number of explanatory variables including the slope term.1.8 In hypothesis testing, the 'critical value' refers to...a. the threshold value defining the rejection region for a particular test.b. the threshold value beyond which (in absolute terms) the null hypothesis is accepted.c. the threshold value found in the chi-squared statistical table for a given significancelevel.d. the value determining the probability of accepting the null hypothesis.e.All of the above.1.9 In hypothesis testing, H₁ represents the...a. null hypothesisb. secondary hypothesisc. alternative hypothesisd. primary hypothesise. hypothesis

Step 1: 1.7: Considering the options: a. the number of explanatory variables excluding the intercept…

Answered: 1.7 Degrees of freedom (d.f.) =n-k,…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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In economics, what does the term ceteris paribus mean when analyzing the relationship between two variables? A. All other things being equal or held constant B. The direct relationship between two variables C. The inverse relationship between two variables D. The absence of any relationship between two variables
1. a) Identify the most likely type of causal relationship for the two situations below, and explain why. There may be more than one correct answer, you are getting marked solely on your explanation. The first variable listed is the independent variable and the second is the dependent for this question. [ Each - One for the type and one for the justification] 1. Cause and Effect 2. Common-Cause Factor 3. Reverse Cause and Effect 4. Accidental 5. Presumed Median income of families, Number of crimes. b) Bicycle Sales, Passengers using YRT (Buses).
For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Relationship options: positive, negative Line options: A, B, C, D True or False: Line D has a slope of infinity.
Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?
Use a software of your own choice to calculate the daily log prices (lp) and daily log returns (Ir) i. Examine the descriptive statistics of both lp and Ir. What do you conclude about the distributions of lp and Ir? Is lp normally distributed? Is Ir normally distributed? Obtain the correlograms, and examine the autocorrelations and partial autocorrelations for both lp and Ir. What do you conclude about the behaviour of lp and Ir? Are they stationary/non-stationary? ii. iii. Are your conclusions about stationary/non-stationary of lp and lr confirmed by appropriate unit root tests?
18. A multiple regression model, K = a + bX + cY + dZ, is estimated regression software, which produces the following output: D. If X equals 50, Y equals 200, and Z equals 45, what value do you predict K will take?
Salop circle spatial model Imagine a circular city with a circumference of 50 miles. A total of 500 people live around the city, all of whom are evenly spaced. It costs any person 10 cents per mile to travel. Every one of these people needs to have exactly one meal prepared. The cost of preparing meals is given by C(g) = 10 + 0.5q where q is the number of meals prepared at any restaurant. (Hint: Define one unit of distance as 50 miles if that makes the problem easier.) a.If you were interested in the efficient way to feed the population, how many restaurants would you build? Show work and explain b.If the market determines the number ofrestaurants, and the result is firms that make zero economic profit, how many firms will there be? Show work and explain C. In what sense is this model one of monopolistic competition?
Suppose that you had data on the amount of pollution in London every year. Write down the regression equation that you would need to estimate to measure the effect of ULEZ on pollution. Describe carefully what the dependent variable, the independent variable, the unit of observation (time or location), and the main coefficient of interest are. What control variables do you think should be included in this regression?
Which of the following statements is true under the Gauss-Markov assumptions? a. Among a certain class of estimators, OLS estimators are best linear unbiased but are asymptotically inefficient. b. Among a certain class of estimators, OLS estimators are biased but asymptotically efficient. c. Among a certain class of estimators, OLS estimators are best linear unbiased and asymptotically efficient. d. The LM test is independent of the Gauss-Markov assumptions. O a. a O b. b О с. с O d. d

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