Answer:
This is your answer ☺️☺️☺️
<h3>
Answer: 35</h3>
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Explanation:
To start off, we'll find the circumference of the full circle. We'll ignore the black and yellow sectors.
C = 2*pi*r
C = 2*pi*7
C = 14pi
This is the exact distance around the full circle in terms of pi
However, we don't want the the full circular perimeter. Instead, we only want the portions that are along the black sectors. The yellow sectors have central angle 24 degrees each. This takes up 3*24 = 72 degrees overall because the three regions have equal area and equal central angle.
Subtract that from 360:
360-72 = 288
The yellow regions take up 72 degrees while the remaining black sectors take up a combined 288 degrees.
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Why is 288 useful? Because it helps set up the fraction 288/360 to represent the portion of the perimeter that we care about.
(288/360)*14pi = 35.1858 mm approximately
This rounds to 35 mm
The very first thing to do in every correlation activity is to plot the gathered data points in a scatter plot. It is better to use software tools like MS Excel because they have a feature there that uses linear regression like that one shown in the picture.
Once you plot the data points, make a trendline. You are given with options. If you want a linear function, then you will have a linear model with a function equation of y = 0.2907x + 2.2643. It has a correlation coefficient of 0.9595. That's a strong correlation already. The R² value tells how good your model fits the data points. If you want to increase the R², a better model would be a quadratic function with the equation, y = -0.0209x²+0.506x+2.0232. As you can see the R² increase even more to 0.9992.
Answer:
-2 > x
Step-by-step explanation: