Answer:
the dimension that will minimize cost are radius of 2.79 inch and height of cylinder of 1.40 inch.
Step-by-step explanation:
volume of a circular cylinder = πr²h
volume of 19 fluid ounces (1 fluid ounce is approximately 1.80469 cubic inches) = 19* 1.80469 =34.28911 in³
The cost per square inch of constructing the top and bottom is twice the cost of constructing the lateral side, means
surface area of top + bottom = surface area of side
area of circle(top + bottom) = πr²+πr² = 2πr²
area of the side = 2πrh
the cost of top and bottom = twice the cost of side
2πr² = 2( 2πrh) = 4πrh
divide both side by 2πr
r= 4πrh/ 2πr =2h
r = 2h
for volume = πr²h = 34.28911 in³
and r = 2h
π(2h)²h =34.28911 in³
4πh³ = 34.28911 in³
h³ = 34.28911 /(4*3.142) = 2.7283 in³
h = cube root of 2.7283 in³ = 1.397 inch
r = 2* 1.76 = 2.794 inch
the dimension that will minimize cost are radius of 2.79 inch and height of cylinder of 1.40 inch.
Answer:
d. y ˆ =269,000−8300x
Step-by-step explanation:
If the regression describes the amount of dollars left after a single donation as a function of time, the regression must consist of a positive lump sum subtracted by an yearly rate. This rules out alternatives a, c, and e.
Since this equation must represent the amount left after 10 years, it must yield a positive value up to at least x = 10.
For equation b., when x = 10:

For equation d., when x = 10:

Therefore, the only possible answer is d. y ˆ =269,000−8300x
Answer:
a)Slope:
Intercept:
b)
And the determination coeffecient is
Step-by-step explanation:
Data given and definitions
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.
n=110,

Part a
The slope is given by this formula:
If we replace we got:
We can find the intercept with the following formula
We can find the average for x and y like this:
And replacing we got:
Part b
In order to calculate the correlation coefficient we can use this formula:
For our case we have this:
n=110,
So we can find the correlation coefficient replacing like this:
And the determination coeffecient is
Price of a bucket of eggs $16.20
price for a dozen of eggs $3.50
number of dozens in 450 eggs:
450/12
=37.5
price of 37.5 will be:
37.5×3.50=$131.25
The percentage the store has increased the price will be:
(131.25-16.20)/16.20×100
=710%
4 cups in a quart so you would have 72 cups divided by 4 and get 18