Answer:
Learning from ancient civilizations, we observe that when the pattern of the flooding was interrupted, serious consequences such as starvation, loss of livestock, social upheaval, and political disruption followed
( يوم يسمعون الصيحة بالحق ) يعني : النفخة في الصور التي تأتي بالحق الذي كان أكثرهم فيه يمترون . ( ذلك يوم الخروج ) أي : من الأجداث .
Answer:
11001
Explanation:
Step 1) Divide 25 by 2 to get the Quotient. Keep the Whole part for the next step and set the Remainder aside.
Step 2) Divide the Whole part of the Quotient from Step 1 by 2. Again, keep the Whole part and set the Remainder aside.
Step 3) Repeat Step 2 above until the Whole part is 0.
Step 4) Write down the Remainders in reverse order to get the answer to 25 as a binary.
Here we will show our work so you can follow along:
25 / 2 = 12 with 1 remainder
12 / 2 = 6 with 0 remainder
6 / 2 = 3 with 0 remainder
3 / 2 = 1 with 1 remainder
1 / 2 = 0 with 1 remainder
Then, when we put the remainders together in reverse order, we get the answer. The decimal number 25 converted to binary is therefore:
11001
Answer:
5). 100 cm. 6). 74 cm. 7). 50 cm.
Also, some additional table info below.
"Parts of a Table
top – the flat surface of a table.
apron, skirt or frieze – the under-framing which connects the legs to the top.
leg – the main vertical piece which supports the top and raises it off the floor.
knee – the upper portion of the leg.
foot – the bottom part of the leg which touches the floor."
Explanation:
I am sorry, this is all i can help you with. I hope I helped you.
Based on the computer output, the predicted price for a car with 10,000 miles is $22,347.20.
<h3>What is a least-squares regression?</h3>
A least-squares regression line can be defined as a standard technique in regression analysis and statistics that is typically used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In statistics, the sum of the residuals for a least-squares regression line is always zero (0) because it determines whether or not a line of regression is a good fit or match for the given data.
Based on the computer output, the predicted price for a car that has covered a distance of 10,000 miles on the odometer is $22,347.20.
Read more on least-squares regression here: brainly.com/question/26059078