Um I think if you multiply the amount of hersheys by the ribbon you would get youre answer
Hoped i helped i couldn't see the number of ribbons
The equation of the least-squared regression line is: In(Element) = 2.305 - 0.101(Time).
<h3>What is a regression line?</h3>
A regression line displays the connection between scattered data points in any set. It shows the relation between the dependent y variable and independent x variables when there is a linear pattern.
According to the given problem,
From the table we can see,
ln(Element) is the dependent variable and Time is the independent variable.
The constant = 2.305,
Time = -0.101
Hence, we can conclude, our least squared regression line will be
In (Element) = 2.305 - 0.101 (Time).
Learn more about regression line here: brainly.com/question/7656407
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Answer:
If you're asking what the perimeter is:
C 32cm
If you're asking what the length of a side is:
A 8cm
Step-by-step explanation:
Area of a square is calculated by length x width.
And all four sides of a square are equal in length.
Area: 8cm×8cm=64cm2
Perimeter: 8cm + 8cm + 8cm + 8cm= 32cm
Another way to find the length of the sides would be to take the square root of 64. I believe that only works with the area of a square though.
√(64)=8
Your numbers are .17 and .165 meters
Let me explain each digit value:
Lets start with .17
Decimals are like whole numbers where each placement has a digit value
.1 is the tenths place
.07 is the hundredths place
Lets turn to .165
.1 is the tenths place
.06 is the hundredths place
.005 is the thousandths place
When seeing which decimal is larger, go along the tenths place and move along.
So as you can see
, .17 and .165 start with .1 so you can't see which is bigger by this. Now move on to the next digit. Which is larger? .17 or .16? As you should know, 7 is bigger than 6 so that means .17 is larger
Answer: .17 meters is larger than .165 meters
For 1 play, the chance of gaining $8 is 4/38, while the chance of losing the $1 is 34/38. Therefore, the expected value is ($8)(4/38) + ($-1)(34/38) = $(-1/19). Over 50 plays, which are mutually independent of each other, we multiply the number of plays by the expected value to get $(-50/19) = $-2.63.
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