Answer:
d) Squared differences between actual and predicted Y values.
Step-by-step explanation:
Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.
For example,
suppose a = 10 and b = 7. If X is 10, then predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.
It minimize the squared difference between actual and predicted value.
For every 6 apple pie, you need 2 pounds of apples.
So, how many pounds of apples do you need for 10 apple pies?
Well, first to figure out this question we first need to make a conversion factor.
I see in the fraction 6/3 we can simplify that to 2/1. Now we got our conversion factor.
We need to invert the fraction in order for the pie unit to cancel out.
1/2 * 10 = 5
You will need 5 pounds of apples to make 10 apple pies.
Answer:
2/3 ounces leaked per day
Step-by-step explanation:
6/9 = 2/3
<em><u>Answer:</u></em>
s = $39,340
<em><u>Explanation:</u></em>
Note: I will use the symbol "n" instead of "t" in the solution.
<u>The given formula is:</u>
s = 32,512 * (1.1)ⁿ where "n" is the number of years.
We want to get the salary after 2 years. This means that we will substitute with n = 2 in the above equation and get the value of s.
<u>This is shown as follows:</u>
s = 32,512 * (1.1)²
s = $39,339.52 which is approximately $39,340
Hope this helps :)
Answer:
45
Step-by-step explanation:
20 / 9 = 2.222222222223
100 / 45 = 2.222222222223
9 is 45% of 20 and 45 is 45% of 100.
