Studying the effect of changes in variables on sales

You are the manager for Dunkin Donuts and know the following elasticities:
n= 1.5 nI = 1.2 nxy1 = 0.5 nxy2 = -0.5

n is the price elasticity of demand for Dunkin Donuts (DD) glazed doughnuts, nxy1 is the cross elasticity of demand between DD glazed doughnuts and Krispy Kreme (KK) glazed doughnuts, nxy2 is the cross elasticity of demand between DD glazed doughnuts and DD French Vanilla coffee, and nI is the income elasticity of DD glazed doughnuts.

a) If you want to increase your sales of glazed doughnuts by 30%, in what direction and by how much do you need to change the price?

b) If you make the percentage price change that you calculated in part a) will total revenue increase or decrease? How do you know?

c) Krispy Kreme lowers its price of glazed doughnuts by 20%. The demand for Dunkin Donuts glazed doughnuts will change by what percentage and in what direction?

d) Dunkin Donuts raises the price of its French Vanilla coffee by 15%. The demand for Dunkin Donuts glazed doughnuts will change by what percentage and in what direction?

e) If average income increases by 5% by what percentage and in what direction will the demand for Dunkin Donuts glazed doughnuts change? Are DD glazed doughnuts a normal good or an inferior good and how do you know?

Which of the following pairs of variables should produce a negative relationship?
A. Model year (2003, 2004, etc.) and price for a used Honda
B. Driving distance from college and weekly cost of gas for a group of commuting college students
C. Number of hours studying and number of errors on a math exam
D. IQ and weight for

Select the most likely answer for the coefficient of linear correlation for the following two variables: x = the number of hours spent studying for a test, and y = the number of points earned on the test.
A. r = 1.20
B. r = 0.70
C. r = -0.85
D. r = 0.05

Here is when I used an informal type of correlation. In this case, "Does correlation imply causation?" Why or why not?
A time when I used an informal type of correlation was to assume that there was a positive correlation between the number of hours studying and the grade that I receive in a course. Based on my experience, th

I have to construct a paper with this criteria: as preparation for the final research paper, formulate a theory about the correlation between measurable independent variables (causes) and one measurable dependent variable (theeffect). Be sure to have at least two independent variables for proposed research paper.
How do I be

See the attached file.
A school principal is looking at the combination of subjects students are
studying.
He learns that the probability that a student is studying Chemistry is 0.5 and that
the probability that a student is studying Physics is 0.1. He has also found that the
probability that a student is studying Chemist

X Y
90 10
86 9
94 7
70 6
86 7
90 15
94 10
66 5
98 11
86 9
1. Calculate and interpret the mean and standard deviation for variables X and Y. (5 points)
2. Calculate and interpret the Pearson's correlation coefficient between test scores (X) and
number of hours a person studied for the te

Does correlation equal causation? Does the strength of correlation depend on the direction? What is the meaning of a zero correlation? Explain your answers. Provide an example of variables you feel might be correlated in your place of business. For instance, hours of studying would be correlated to scores received on a test.