In any scenario, trustworthiness is always positively correlated
with the investment. We can consider it as a principal and agent
angle. if the management of an organization which is agent is
acting diligently for the maximizing of shareholder value without
using deceitful tactics such as bribing or labor as well
environment exploitation then it is scoring on good
governance.
Maintaining product quality and helping communities through
corporate social responsibility are some some steps which bolsters
management trustworthiness. This indicates that the organization is
looking for long term goals and investors definitely gives
preference for such organizations.
Similar is the case in terms of country. If that country has good government, law & order situation with lower bribing and healthy social structure then investment flows into that country.
Question 5: Describe the relationship between trustworthiness and investment. Based on the data we examined in class, a...
The concept of statistics where we look at the amount and type of relationship that exists between two variables is the correlation. We can consider whether or how two variables are related to each other and how that relationship functions. For example, if you think that the more you study, the higher your grades will be, you are using correlation and prediction. You may have observed that as the number of hours you spend studying increases, so do your overall...
Students in a meat science class examined the relationship between the price of ground beef in 5 per pound) and fat content (in grams) for a random sample of meats gathered from a local grocery store. The data are plotted in the scatterplot below. Scatterplot of Price/lb vs Fat Grams 10 Fal Grams Which of the following is the best estimate of the correlation, based only on the scatterplot? Hint: No calculation is required. Use what you know about correlation....
How to do with TI-83 Plus? In class we examined the linear relationship between shoe size and height for females. When looking at the male data, the following statistics were computed. For shoe size, the sample mean was 11 and the sample standard deviation was 1.35. For height, the sample mean was 71.5 and the sample standard deviation was 2.8. The sample correlation between shoe size and height was found to be r = 0.64. Find the regression equation for...
The relationship between two quantities x and y is examined, and the association is shown in the scatterplot below. Question 10 Not yet answered Marked out of 1.00 P Flag question 0.5 i 15 2 2.5 3 3.5 4 4.5 4 Could a regression line be reasonably used to describe this data? N Select one a. No b. Yes
Question 2: a. Compare and contrast the four market structures we examined in class. b. Provide a business or industry example of each of the four market structures. Question 3 (Oligopoly): a. Describe the source of tension between cooperation and self-interest in a market characterized by oligopoly, b. Use an example of an actual cartel arrangement to demonstrate why this tension creates instability in cartels.
10A) Give an example of a paired data set (with at least 5 pairs) that demonstrates a strong (but not perfect) negative linear correlation. x y 10B) Give a real life example of two variables that are likely to be positively correlated. Specifically explain why you believe your chosen two variables are positively correlated. 10C) Suppose some researchers studied children in high schools and found a strong positive linear correlation between the availability of vending machines and obesity. From this...
Describe the relationship between the data in the scatter plot.5101520253035404551015202530354045positive linearnegative linearnonlinearno relationship
A relationship is a connection between two tables of data based on one column in each. To see why relationships are useful, imagine that you track data for customer orders in your business. These relationships will be important as we try to bring data together to gain more insights into the work that we are trying accomplish. What do data types, data categorization, and data formation have to do with developing data relationships?
Question #1 Explain what is meant by a positive relationship between two variables and a negative relationship between two variables. Describe examples of situations in which one would expect to find a positive relationship and when one would expect to find a negative relationship. Can one assign direction when both variables in a table are dichotomous?
QUESTION 10 Sometimes including independent variables in a regression serve as a "data sanity check," in so much as they facilitate a: O more unbiased estimate of the treatment effect O comparison between the estimated coefficient for that variable and the value for that coefficient as predicted by theory O more efficient estimate of the treatment effect in question O secondary measure of the standard error of the treatment effect of interest. QUESTION 11 What are the two primary criteria...