Hey There!
To solve this problem you need to know the math term "PEMDAS". For this problem we will be using the A and S part (addition & subtraction). When an order of operation problem has only addition and subtraction, you solve the problem by the order of left to right. First, you do 14-10 which equals 4, then you add 5, which equals 9, then you add 9 to 3, that equals 12 then you add 2 to that which equals 14. You're final answer should be 14.
Hope This Helped ;)
Answer:

Step-by-step explanation:
The following are the given information:
- The handicapped spot, which is
feet wide and next to the curb. - The other three spots are
feet wide. - There are 4 dividing lines between the spots, and each measures
foot.
The Median D therefore will be a sum of the following:
- The width of the Handicapped Spot
- 3 X The width of the other spots
- 4 X The width of the dividing line

Answer:
d. can be equal to the value of the coefficient of determination (r2).
True on the special case when r =1 we have that 
Step-by-step explanation:
We need to remember that the correlation coefficient is a measure to analyze the goodness of fit for a model and is given by:
The determination coefficient is given by 
Let's analyze one by one the possible options:
a. can never be equal to the value of the coefficient of determination (r2).
False if r = 1 then 
b. is always larger than the value of the coefficient of determination (r2).
False not always if r= 1 we have that
and we don't satisfy the condition
c. is always smaller than the value of the coefficient of determination (r2).
False again if r =1 then we have
and we don't satisfy the condition
d. can be equal to the value of the coefficient of determination (r2).
True on the special case when r =1 we have that 

Now find equation of the graph. It passes through the point (2,3), and intersects y-axis at -2.
Answer: The correct option is d
Step-by-step explanation:
Standard error measures how far the sample mean is from the population mean.
The formula for determining the standard error of the distribution of difference in means is expressed as
Standard error = √(s1²/n1 + s2²/n2)
where
s1 = sample 1 standard deviation
s2 = sample 2 standard deviation
n1 = number of samples 1
n2 = number of samples 2
From the information given
s1 = 2 pounds
n1 = 43 pounds
s2 = 1.7 pounds
n2 = 40 pounds
Standard error = √(2²/43 + 1.7²/40)