Answer: 
Step-by-step explanation:
Let be:
, 
and 
the three consecutive even integers whose sum is -24
Then, we can write this expression:
Now, we must solve for "x":
Then you get that the others integers are:
Therefore, the three consecutive even integers whose sum is -24 are:
119.32 = 2 x 3.14 x r
r = 19cm
area = 3.14 x 19^2
= 1133.54cm2
Answer:
<h2><u>
10</u></h2><h2><u>
4</u></h2>
Step-by-step explanation:
To determine how much a decimal was multiplied, you need to find how many places the decimal moved.
In this case we can see the decimal moved once. How many times the decimal moved can be represented by the zeros in the number. So 10 = 1
100 = 2 1,000 = 3 and it keeps going.
So since the decimal moved 1 time, the answer to question one is 10
Now question 2.
Both 8.4 ÷ 2.1 and 84 ÷ 21 will give the exact same answer. It is just easier to solve. So solve which one is easier for you. I did 84 ÷ 21.
84 ÷ 21 = 4
We can verify our answer by multiplying the the divisor by the quotient
21 * 4 = 84
So 4 is the answer to question 2
Answer:
B) The sum of the squared residuals
Step-by-step explanation:
Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).
Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.
Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.
Therefore, option B gives the correct answer.
