Answer:
Step-by-step explanation:
Remark
Interesting detail.
Origami Paper is square -- perfectly.
So the properties listed will be related to a square.
Givens
Area = 35 in^2
Formulas
Area = s^2 where s is the length of 1 side.
Perimeter = 4s
Solution
<u>Area = s^2 = 35</u>
s^2 = 35 Take the square root of both sides.
√s^2 = √35
s = 5.91
<u>Perimeter = 4s</u>
s = 5.91
Perimeter = 4*5.91
Perimeter = 23.66
The way the question is worded, the answer you should submit is
Perimeter = 4 * √35
Answer:
Wages expense Dr ($900 × 3 days) $2,700
To wages payable $2,700
(being wages expense is recorded)
Step-by-step explanation:
The adjusting entry is as follows
Wages expense Dr ($900 × 3 days) $2,700
To wages payable $2,700
(being wages expense is recorded)
Here the wages expense is debited as it increased the expense and credited the wages payable as it also increased the liability
Since on Jan 26, it is friday so the remaining days would be 3
The probability of randomly selecting a name starting with the letter T from bowl of 24 names depends on the names that are in the bowl,. The number 24 says nothing about the names. There can be neither probability that the randomly selected name starts with T, if in the bowl none of the 24 names starts with T.
It could be also unlikely to select a name starting with T if there is a really small number of names in the bowl starting with T (for example 1 or 2 from 24). And it can be likely to chose a name that start with T if there are many names in the bowl starting with T.So, it is important to know the number of names in the bowl starting with T.
<span>1.7a+0.3a=4/5
2a = 4/5
a = 4/5 * 1/2
a = 4/10
a = 2/5</span>
A scatter diagram has points that show the relationship between two sets of data.
We have the following data,
where <em>x</em> is the average number of employees in a group health insurance plan and <em>y</em> is the average administrative cost as a percentage of claims.
To make a scatter diagram you must, draw a graph with the independent variable on the horizontal axis (<em>in this case x</em>) and the dependent variable on the vertical axis (<em>in this case y</em>). For each pair of data, put a dot or a symbol where the x-axis value intersects the y-axis value.
Linear regression is a way to describe a relationship between two variables through an equation of a straight line, called line of best fit, that most closely models this relationship.
To find the line of best fit for the points, follow these steps:
Step 1: Find 
and 
as it was done in the below table.
Step 2: Find the sum of every column:
Step 3: Use the following equations to find intercept a and slope b:
Step 4: Assemble the equation of a line
