Assume that following table shows regression output. We want to predict how price and
advertising expenditure impacts quantity sold. What does 0.9617 imply?
Regression Statistics
Multiple R: 0.980681431
R Square: 0.961736068
Adjusted R Square: 0.942604102
Standard Error: 310.5239249
Observations: 7 -
Answer✅
About 96.17% of the variation in quantity sold is explained by price and advertising
expenditure
Quiz_________________?
Find the first quartile of the data set {1, 3, 3, 8, 8, 6, 6, 7, 4, 5}. -
Answer✅
3
Quiz_________________?
1
, If σ2 = 4 , then what is the standard deviation? -
Answer✅
2
Quiz_________________?
In the equation below, where y means quantity sold, what does 0.50 mean?:
y = 100 - 0.50 (Marketing expenditure) -
Answer✅
each one unit increase in Marketing expenditure is associated with a 0.50 unit decrease in
quantity sold
Quiz_________________?
The following formulation of a hypothesis is an example of a
_____________
The company that bottles a popular soft drink has set the filling machine so that the mean
contents per bottle is equal to 12 ounces.
H0: μ=12" status quo"
Ha: μ≠12 -
Answer✅
two-tail test
Quiz_________________?
Stealth bank has deposits of $700 million. It holds reserves of $20 million and has purchased
government bonds worth $350 million. The bank's loans, if sold at current market value,
would be worth $600 million. What does Stealth bank's net worth equal? -
Answer✅
2